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Healthcare Is Undergoing A Cybersecurity Crisis, And Its Not Slowing Down
As the reliance on technology increases, healthcare leaders need to invest heavily in cyber-protection measures.
On Air and Online: Spectrum Business Powers Globecast Americas’ Broadcast Evolution
Working with Globecast during the relocation planning phase, Spectrum Business helped design a network foundation that could keep content moving quickly, securely and reliably from day one.
When junk science decides guilt in the South
States should adopt the federal standard for expert testimony and make reliability a threshold requirement, not a question left for jurors to sort out after unreliable science has been heard.
Samsung’s entire 2027 Galaxy flagship lineup leaks with TriFold return, more
A reliable source has just detailed Samsung’s entire 2027 lineup of flagship Galaxy phones, which includes the return of a...
Why Orlando Magic Are Feeling More Pressure Than Ever
As conference rivals load up on superstars, Orlando’s reliance on internal growth and health puts Jeff Weltman’s patient strategy to the ultimate postseason litmus test.
YouTube’s health content rewards attention-grabbing videos over reliable medical information
Researchers analyzed 3,958 Korean-language medical YouTube videos and found that clickbait-heavy content attracted more views, likes, and comments. Higher-quality videos from medical professionals and public institutions often received less attention, highlighting a visibility gap in online health information.
FDA rejects application for new oral MR imaging contrast agent
Biotechnology firm Ascelia Pharma is working to roll out Orviglance, a novel manganese-based product for visualizing focal liver lesions during MRI, but faced a recent setback.
Will Kings’ Karaban Thrive Around Better Players?
After overcoming a rocky Summer League start, UConn’s championship-winning connector looks to translate his elite basketball IQ and catch-and-shoot prowess into a reliable weapon alongside Sacramento’s veteran stars.
“Graphic Talk About Science: Adventures in Science Engagement”
Mount Wilson Observatory (MWO), Southern California’s esteemed home to several of the most groundbreaking astronomical discoveries in history, welcomes the public to the third Saturday Evening Talks & Telescopes of the season on Saturday, July 25, 2026. MWO is honored to present “Graphic Talk About Science: Adventures in Science Engagement,” a lecture by Clifford V. Johnson, from UCSB. This lecture explores how graphic storytelling can make cutting-edge physics more accessible, as Johnson discusses the science and creative process behind his illustrated book, “The Dialogues: Conversations About the Nature of the Universe.” Tickets are available here: www.mtwilson.edu/events/lecture072526 During the six-month season, each Talks & Telescopes event runs from 5:30pm to 11:30pm with the “talk” portion of the evening beginning in the Observatory’s Auditorium. The 60+ minute presentation is followed by picnic dining—bring your own, or purchase from a food truck or caterer—and then, after the sun goes down, stargazing through Mount Wilson’s immense telescopes, the largest in the world made available to the public. Additional stargazing around the grounds will be available thanks to members of the Los Angeles Astronomical Society. Both the 60-inch telescope and the 100-inch—the latter famously used by Edwin Hubble to discover the expanding universe—will be available for viewing the night sky. Priced at $50, this event series offers the most economical stargazing event option on the mountain. Tickets and more information are available on Mount Wilson Observatory’s website here: www.mtwilson.edu/lectures. Advance purchases are highly recommended. UPCOMING SATURDAY EVENING TALKS & TELESCOPES OF THE 2026 SEASON August 22: “Towards a Functional Cosmology” www.mtwilson.edu/events/lecture082226 Join artist Lita Albuquerque for a lecture on her multidisciplinary practice at the intersection of art, science, and cosmology. Drawing on decades of work across painting, land art, performance, and installation, she reflects on projects created in remote, astronomy-linked environments and how they shape her exploration of time, space, and human perception. September 19: “The Brightness of Stars: Henrietta Leavitt and the Transformative Nature of Attention in Art and Science” www.mtwilson.edu/events/lecture091926 Visual artist and author Anna Von Mertens explores the life and legacy of Henrietta Leavitt, whose study of variable stars enabled the first reliable measurements of cosmic distances. Working among the Harvard Computers, Leavitt laid the foundation for breakthroughs at Mount Wilson, including Harlow Shapley’s mapping of the Milky Way and Edwin Hubble’s discovery of an expanding universe. Drawing from her book “Attention Is Discovery: The Life and Legacy of Astronomer Henrietta Leavitt,” Von Mertens shares archival materials alongside her own artwork inspired by Leavitt’s life, to celebrate how careful attention leads to both scientific discovery and a meaningful life. October 17: “The Duality of Genius and Struggle: G.E. Hale” www.mtwilson.edu/events/lecture101726 This talk, presented by Sam Hale, explores the extraordinary life and legacy of his grandfather, George Ellery Hale—the visionary behind some of the world’s most important astronomical institutions. Drawing on both history and personal connection, Sam Hale offers insight into a legacy that continues to shape science and culture today. VISITING MWO The gate to Mount Wilson’s campus opens at 10:00am daily and closes at 5:00pm from early April through November. Entrance to the grounds is free. Visitors can hike, gaze at the telescope domes and towers that dot the landscape, and take a look at historic Mount Wilson photos and letters in the Museum. The Cosmic Cafe (www.mtwilson.edu/cosmic-cafe), located above the main parking lot at the Observatory entrance, is open on weekends in the spring, summer, and fall. In addition to traditional menu items such as hot dogs, drinks, and snacks, the Cafe offers wraps, salads, and sweet treats from Little Flower. PARKING A U.S. Forest Service Adventure Pass is required to park at the Observatory. A $5 day pass or a $30 dollar annual pass may be purchased at the Cosmic Cafe on weekends between 10:00am and 5:00pm. During the week, passes are available at locations around Los Angeles. The most convenient location before heading up is at the Shell station in La Canada Flintridge at the bottom of the Angeles Crest Highway (https://find.shell.com/us/fuel/10007957-4530-angeles-crest-hwy/en_US). Visit the U.S. Forest Service website for more information about Passes and other locations to buy them: www.fs.usda.gov/r05/passes/adventure-pass For more information about Visiting Mount Wilson Observatory, please visit: www.mtwilson.edu/visiting NOT ADA-COMPLIANT Please be advised that access to the 100-inch dome is via an open-air, 53-step staircase inside the building. There is no ADA-compliant access.
With LeBron James, 76ers’ Playoff Hopes Are No Longer Tied To Joel Embiid’s Health
By signing LeBron James, the 76ers are no longer as reliant on center Joel Embiid, who has sustained numerous injuries in his career.
Mercedes faces Ferrari threat amid reliability woes, says David Coulthard
David Coulthard believes Mercedes will be concerned by Ferrari’s recent constructors’ championship gains
Microsoft launches new in-house AI models it says cut costs up to 89% versus OpenAI
Microsoft launched MAI-Image-2.5-Pro and MAI-Voice-2-Flash, new in-house AI models designed to cut GPU costs, power Bing, Excel, Copilot and Dynamics, and reduce reliance on OpenAI.
The 5 best U.S. airlines for business travelers
From United's 1,000-plus worldwide lounges to Southwest's best-in-class reliability and fares under $600, the best airlines for business travelers
When It Comes to Fusion, Materials Matter
Fusion at high temperatures powers the sun and, if harnessed, could provide a potential source of energy here on Earth. But controlling fusion reactions has other benefits. The process also generates subatomic particles called neutrons that are used in a range of applications spanning medicine, research, and national security. Now, scientists at the University of California, Davis (UC Davis), and the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) have found that the materials surrounding a fusion reaction can dramatically increase how often it occurs, particularly at low energies where fusion is rare. The study was published July 18 in Nature Communications. Their approach sets up a way to study and engineer nuclear reactions within solid materials, opening a new field of “materials-driven fusion.” Instead of designing materials just to survive the harsh conditions of fusion, researchers might be able to design materials that boost the reaction in specific conditions, similar to the way catalysts speed up chemical processes. “It gives you a new knob to turn that you didn’t have before,” said Arun Persaud, head of the Fusion Science & Ion Beam Technology group in Berkeley Lab’s Accelerator Technology & Applied Physics (ATAP) Division. “If we understand this effect better, it opens the door to engineering new materials that would affect the fusion rate under certain conditions. Someday future progress might enable more compact and efficient neutron generators, which have all kinds of applications, like cargo screening, planetary science, and medical therapy and imaging.” In the experiment, researchers used two different methods to pack deuterium, a heavy form of hydrogen atoms that is often used in fusion, into thin foils of palladium and titanium. They then fired a beam of deuterium ions at the foils at different energies and measured how often fusion happened. Then they compared the rates from the different materials and methods with the “bare” fusion reaction (not in a material). The team found that fusion rates depended on how the deuterium was loaded into the metal foils. The biggest effect was at the lowest energies, below 2.5 kiloelectronvolts (keV), where theory predicts fusion rates drop off sharply. Instead, researchers found a surprising plateau: Some samples showed elevated fusion rates roughly a quintillion times higher than bare fusion reactions. (A quintillion is a 1 followed by 18 zeroes.) Researchers are not exactly sure why that’s happening, though they have some ideas and ways to test them. The electrons and defects within the material might partially shield repulsive electrostatic forces between deuterium nuclei, making it easier for them to get close together and fuse. Tuning the electronic structure, defects, and composition of materials could help make nuclear reactions happen more readily. “It comes down to better understanding the mechanism so that we can try to enhance it,” said corresponding author Jeremy Munday, a professor at UC Davis. “We’ve seen that we can increase fusion rates, but what is the limit? Can we bring it to lower temperatures or energies? There’s obviously a lot of interest and excitement about fusion, so if there’s something we can learn about the physics at these lower energy scales, maybe there’s something we can translate to other areas of nuclear science.” The team plans to explore a wider range of materials and continue probing the unexpected fusion plateau at lower energies. Their work establishes a reproducible experimental platform to study how solid materials influence nuclear reactions, creating a new area of research that links fusion science with materials science and chemistry. “The work shows conclusively that the material environment where fusion occurs at low temperatures is an active participant rather than a passive container,” said Cameron Geddes, director of ATAP. “That adds a new dimension to fusion research.” This work was funded by the U.S. Department of Energy’s Advanced Research Projects Agency-Energy (ARPA-E). ### Lawrence Berkeley National Laboratory (Berkeley Lab) is committed to groundbreaking research focused on discovery science and solutions for abundant and reliable energy supplies. The lab’s expertise spans materials, chemistry, physics, biology, earth and environmental science, mathematics, and computing. Researchers from around the world rely on the lab’s world-class scientific facilities for their own pioneering research. Founded in 1931 on the belief that the biggest problems are best addressed by teams, Berkeley Lab and its scientists have been recognized with 17 Nobel Prizes. Berkeley Lab is a multiprogram national laboratory managed by the University of California for the U.S. Department of Energy’s Office of Science. DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit energy.gov/science.
New KFF Poll Shows Public Divided When It Comes to Trusting Federal Health Agencies for Reliable Information
KFF’s latest Tracking Poll on Health Information and Trust finds that following large declines in trust in federal health agencies from 2020 through early 2026, trust in the CDC as a source of health information held steady over the last 6 months, while trust in both President Trump and state government officials declined somewhat.
Amelia Dimoldenberg’s Formula 1 Collaboration Returns To YouTube For Season 2
Amelia Dimoldenberg expands her YouTube empire with the return of Formula 1 collaboration Passenger Princess
UA researcher leads global effort to promote reliable health information
UA's Rebecca Ivic anchors a global commission on health communication sponsored by Nature Medicine, a leading academic journal.
Arte Moreno Breaks Silence On Selling Zach Neto
The Angels are finally listening to offers for Zach Neto as interim GM John Mozeliak shifts the team's strategy ahead of the trade deadline.
Researchers gather at Cornell Tech to explore AI for molecular science
Researchers from around the world gathered at Cornell Tech for a workshop exploring how physics-aware artificial intelligence can accelerate the discovery of molecules and materials while improving the reliability of machine learning models.
PlayOn Sports Appoints Dave Bottoms as Chief Product Officer and Celia Poon as Chief Financial Officer
PlayOn Sports, the nation's leading technology company powering high school athletics through GoFan, MaxPreps and the NFHS Network, today announced the appointments of Dave Bottoms as Chief Product Officer and Celia Poon as Chief Financial Officer, strengthening its executive leadership team as the company continues to grow its impact and footprint across the high school sports landscape.
Vital Signs: Reading Critical Developments In Global Health
Last week, one phrase — “self-reliance” — did more work in global health than any medicine, as global agencies continue operationalising donor retreats they
Michael Harris II's Breakout Is Confirmed Two Ways, Not One
Fresh off the All-Star break, Michael Harris II went full highlight reel this weekend. If you're a Harris owner, you might expect another hot half, but you might be better off treating this weekend as a stepping-off point to trade for a more reliable asset. Statcast, always a downer, is a lot less impressed than conventional wisdom.
Christopher Nolan's 'Odyssey' debut breaks major box office record
Is Christopher Nolan the most reliable director working today? With his latest film, the Oscar winner has pulled off a feat that few filmmakers can.
Google might not kneecap the Pixel 11a with an old processor
It should also have a more reliable MediaTek modem.
A commitment to reliability fuels Trash Rangers’ rapid business growth
Trash Rangers began in 2018 when Jake Poche identified a need for more reliable, customer-focused waste services in Ascension Parish, Ascension Business Report reports. Built on the promise of showing up when it says it will, the locally owned company has grown from a residential garbage service into a regional waste provider serving communities throughout […]
Shipping Choke Points Raise Business Costs Even After The Iran War
Shipping choke points like Hormuz and Malacca keep raising business costs after the Iran War, forcing companies to pay more for reliable supply chains
4 Devices You Should Always Connect To 5GHz Wi-Fi (And 4 That Can Stay On 2.4GHz)
Not every device needs 5GHz Wi-Fi. Some gadgets benefit from faster speeds, while others perform better on reliable 2.4GHz connections.
How Trash Rangers went from local startup to regional player
When Jake Poche launched Trash Rangers in 2018, the idea was simple: reliable service from a company that would actually show up when it said it would. Today, that same promise has carried the business from a residential garbage service in Ascension Parish into a regional waste provider that stretches across the Capital Region — […]
Island business owners 'forced to plan around' unreliable postal service
Islanders face high postal costs and inconsistent services, according to the watchdog Consumer Scotland.
Florida football's projected bowl game, opponent for 2026 postseason
The 2026 season hasn't even begun, but Athlon Sports already projects Florida football to face Penn State in the ReliaQuest Bowl.
Large Language Models in Life Science Research: What Scientists Need to Know
Large language models are reshaping literature review, coding, and scientific writing in life science research. Explore what LLMs can and cannot do reliably.
Energy efficiency that delivers measurable business results
Lower costs, improve reliability and boost productivity with DTE Energy rebates, financing and customized energy efficiency solutions.
Handover of Health Commodities
Joint Handover of Health Commodities Speech of Chargé d’Affaires Steve Bremner (…) Thank you for joining us. I am here today to demonstrate how U.S. foreign assistance under President Trump’s America First Global Health Strategy and our bilateral health MOU makes America safer and stronger while helping Madagascar build a more self-reliant health system. Through our bilateral Global Health Memorandum of Understanding (MOU) signed in December 2025 with the Ministry of Public Health, our two governments outlined shared priorities and responsibilities, including a strong focus on infectious disease threats and Madagascar’s increasing ownership and co-investment in its own health system. The MOU outlines the structure and terms of U.S. support to Madagascar’s health sector from 2026 through 2030, with a total commitment of $134,305,000 from the U.S. government and $41,216,252 from the Government of Madagascar to work jointly to address malaria, maternal and child health, polio and global health security issues. Stronger health systems help prevent instability and reduce the risk that infectious diseases reach the United States, making both our countries safer. America First foreign assistance is clear and disciplined: It is a tool of strategic engagement, not global charity. Every U.S. taxpayer dollar must show measurable results, reduce long-term dependence on U.S. taxpayer resources, and support greater self-reliance in recipient countries. Support must be efficient and targeted, with zero tolerance for fraud, waste, or abuse. This year, through the U.S.-funded Global Health Supply Chain Program – Procurement and Supply Management project, we are distributing: 989,250 long-lasting insecticide-treated nets, worth $2,000,000 to 63 districts and 1,661 Community Health Centers across Madagascar, with the third and final delivery of these nets having arrived in late June. Through the U.S.-funded Momentum Country and Global Leadership (MCGL) project, we are funding: The full cost of Starlink internet connectivity equipment procurement, installation, and one-year subscription for 31 priority District and Regional Health Offices. Through the U.S.-funded Strengthening Infectious Disease Detection Systems project, we are supplying: 908,523 pieces of critical medical equipment and a modernized digital surveillance system to the Ministry of Public Health. These materials will strengthen health systems, improve response capabilities, and help those most in need of protection from mosquito-borne diseases — particularly malaria, which continues to claim the lives of children and women at an unacceptable rate. Deployed effectively, they will contribute to reducing maternal and newborn mortality in rural and hard-to-reach communities where the need is greatest. In these same underserved areas, Starlink connectivity will play a critical role in enabling the rapid transmission of health data and information to central levels, ensuring that decision-makers receive timely, actionable intelligence and can mount swift, coordinated responses to protect populations. For Americans, this support delivers concrete benefits. Stronger health systems in Madagascar help detect and contain infectious diseases before they spread across borders, protecting American and Malagasy families. More stable, healthier countries can expand trade and economic cooperation with the United States. Our goal is not permanent support; it is temporary, targeted assistance that helps Madagascar save lives while achieving greater self-reliance and independence from foreign assistance. To the health workers and community health agents here that will use the products we’re delivering today: your dedication and skills save lives. Your work exemplifies the kind of local ownership that will enable Madagascar to reduce dependence on foreign assistance and manage the country’s health challenges. This targeted support delivers results today while helping Madagascar build toward a future where it can sustain and expand those health gains independently, ensuring that today’s U.S. support leads to Madagascar’s self-sufficiency. Thank you, Misaotra.
United States Delivers Life-Saving Health Supplies and equipment to Madagascar
United States Delivers Life-Saving Health Supplies and equipment to Madagascar U.S. Chargé d’Affaires Steve Bremner presided over a handover ceremony to the Government of Madagascar, represented by President of the Refoundation Col. Michaël Randrianirina, marking the delivery of nearly one million mosquito nets, over 900,000 pieces of critical laboratory equipment, and 33 internet connectivity systems. The assistance – valued at more than $2.2 million – is part of a broader U.S.-Madagascar health partnership, outlined in our bilateral Global Health Memorandum of Understanding (MOU) signed in December 2025, totaling $134 million from the U.S. government from 2026 through 2030. “This assistance is clear and disciplined – it is a tool of strategic engagement, not global charity,” said Chargé d’Affaires Steve Bremner. “Every U.S. taxpayer dollar must show measurable results, reduce long-term dependence on U.S. resources, and support greater self-reliance. Stronger health systems in Madagascar help detect and contain infectious diseases before they spread across borders, protecting American and Malagasy families alike.” The assistance includes: 989,250 long-lasting insecticide-treated mosquito nets - worth $2 million – will be distributed to 63 districts and 1,661 community health centers across Madagascar. Malaria remains one of the leading causes of death in the country, claiming the lives of children and women at an unacceptable rate. The third and final delivery of these nets arrived in late June and will be distributed starting this July until mid-October, ensuring that those most at risk of mosquito-borne disease now have access to this basic but life-saving protection. U.S.-funded Global Health Supply Chain Program – Procurement and Supply Management (GHSC-PSM) project will ensure the distribution. 908,523 pieces of critical medical and laboratory equipment – valued at $180,000 – including personal protective equipment, laboratory supplies, diagnostic tools, and cold chain equipment – along with a modernized digital surveillance system to Madagascar’s Ministry of Public Health. This support through the STRIDES (Strengthening Infectious Disease Detection Systems) program bolsters Madagascar’s ability to detect and respond to outbreaks of diseases such as monkeypox, plague, rabies, polio, and Ebola before they become regional or global threats. Over $30,000 of funding for the full procurement, installation, and first year of service for 33 Starlink satellite internet systems at priority districts and regional health offices across the country. These systems will allow health workers in remote and underserved communities to transmit health data quickly to central decision-makers – enabling faster, better-coordinated responses when disease outbreaks occur. U.S.-funded Momentum Country and Global Leadership (MCGL) will implement this project. As the country’s largest bilateral health donor, the United States remains committed to the principle that a stronger, healthier Madagascar makes for a stronger, safer world – and a stronger, safer America.
When regulation is good for business
By now, I think I have established both my view that I am a fan of ESG investing and the benefits of regulating what is and isn’t a sustainable investment, and my view that in Europe, ESG regulation has gone too far and become too costly. It almost feels like the old Aristotelian maxim of doing things in moderation that leads to the best outcomes is valid in regulatory efforts as well. To give you an example, let’s look at a study by the National Bank of Belgium on the impact of the EU’s Sustainable Finance Disclosure Regulation (SFDR) on fund flows of conventional and ESG funds. The SFDR was announced on 27 November 2019 and came into effect on 10 March 2021. It was implemented in several stages and split funds marketed in the EU into three broad categories: (i) Art. 6 funds that are basically conventional funds without any specific ESG integration, (ii) Art. 8 funds that ‘promote environmental or social characteristics’, which must provide additional reporting how they do that, and (iii) Art. 9 funds that are impact funds. The gaps between the announcement and the phased implementation give us an idea of how fund flows were affected by the regulation. It is clearly visible in the figure below that once the new regulation was announced and when it was initially implemented, fund flows in Art. 8 and Art. 9 funds increased significantly. Conventional Art. 6 funds also saw more inflows, but the increase was not statistically significant. I should add that the data below is pure fund flow, cleaned of performance effects and of any reclassified funds that moved from one classification to another. Note also that once the initial rush in ESG funds was over, additional, stricter regulatory requirements didn’t create that many new flows. This implies that with additional regulation, the funds incurred higher costs to comply but didn’t benefit in terms of new inflows and higher assets under management. Fund flows as the SFDR regulation was implemented in the EU Source: Emiris et al. (2026) When examining the drivers of these flows, the authors of the study found that institutional investors were more likely to switch to ESG funds and particularly so in countries where concerns about sustainability are culturally more accepted. In a society where buy-in into environmental and social risks is higher, private investors were shifting more of their assets into ESG funds as the regulation made it clear which funds are really green and which ones are not. And institutional investors in these countries did so as well, given the societal pressures and reputational risks of sticking with conventional funds. Meanwhile, fund managers reacted to the changing regulatory environment as well. Many funds that were mildly green before the regulation was announced became greener and more sustainable as the regulation was introduced to attract new assets and new investors. Cleverly, and unsurprisingly, these ESG funds also charge on average higher fees, which means that not only did fund managers gather fresh assets, but their profitability increased as well.
Lindsey Graham’s journey from a pool hall to the heights of political power
A former military lawyer who reached the rank of colonel in the Air Force, the wisecracking Graham was known for his Southern drawl, political flexibility and reliably hawkish stance on foreign policy.
Lindsey Graham’s journey from a pool hall to the heights of political power
The high-energy Republican lawmaker was known for his Southern drawl, political flexibility and reliably hawkish stance on foreign policy. He first won election to Congress in 1994.
Azerbaijan health officials deny mumps epidemic in Baku
The Ministry of Health of the Republic of Azerbaijan reports posts have been circulating on social networks about the widespread spread of epidemic mumps in Baku do not reflect the current epidemiological situation. Health officials say the epidemiological situation of mumps in the country is stable. The registered cases of infection consist of individual sporadic cases, no epidemics or mass spread have been recorded. The current situation is constantly under epidemiological surveillance by relevant medical institutions, and the necessary preventive and counter-epidemic measures are consistently implemented. Epidemic mumps is observed more often among unvaccinated or incompletely vaccinated individuals. The disease is transmitted mainly by airborne droplets - during coughing, sneezing and close contact. The incubation period usually lasts 11–23 days. The main symptoms of the disease are fever, swelling and pain in the parotid salivary glands, discomfort when chewing and swallowing, general weakness, headache and loss of appetite. In most cases, mumps is mild and results in complete recovery. However, in rare cases, certain complications may develop in unvaccinated adolescents and adults. Therefore, timely vaccination is of particular importance in preventing the disease. Subscribe to Outbreak News TV on YouTube In accordance with the National Vaccination Schedule in Azerbaijan, the combined measles, mumps, and rubella (MMR) vaccine is administered to children at 12 months of age, with a booster dose at 6 years of age. The MMR vaccine is the most reliable and effective means of protection against mumps. The Ministry of Health recommends that parents check their children’s vaccination status. If for any reason the vaccination has been delayed or missed, it is recommended to contact the medical facility in your area of residence and consult a doctor. To protect yourself from the disease, it is recommended to follow preventive measures such as avoiding close contact with sick people, following personal hygiene rules, washing hands regularly, and frequently ventilating closed spaces. If you experience symptoms of the disease, avoid self-medication, seek medical attention, and do not return to work until you are fully recovered. Citizens are asked to refer only to official sources and not to believe or share unverified information circulating on social networks. Outbreak News Today is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
What the Politics of Tears Means for Iran’s Future
Khamenei’s Funeral Lays Bare the Regime’s Reliance on Spectacle over Genuine Loyalty
AI, science and the risks in China’s reliance on imported precision equipment
The country is dependent on overseas high-end scientific instruments, crimping use of artificial intelligence, researcher says.
Racine County Residents Pack Town Hall to Discuss Affordability, Healthcare, & Gun Violence
Left to right: Reps. Delia C. Ramirez, Pramila Jayapal, Jim McGovern, Mark Pocan, and Gwen Moore.
Vikings Insider Gets Blunt on Potential Jadeveon Clowney Fit
The Minnesota Vikings have questions regarding their pass rush. Behind Dallas Turner and Andrew Van Ginkel, there’s not much reliable depth, so any injuries or poor form could be a major issue for Minnesota. Moreover, over the offseason, the Vikings traded Jonathan Greenard to the Philadelphia Eagles. As a result, the team hopes Turner can […] The post Vikings Insider Gets Blunt on Potential Jadeveon Clowney Fit appeared first on HEAVY.
China achieves microwatt milestone with self-reliant carbon-14 nuclear battery
Guest column: Louisiana’s broadband strategy is helping businesses compete
Every Louisiana business depends on reliable internet service, whether it is processing payments, managing inventory, communicating with customers or supporting employees. Broadband access now directly affects productivity, customer service, operating costs and the ability to compete in an increasingly digital economy. For years, many Louisiana communities dealt with limited internet options, inconsistent service and high […]
'Acceleration without fuel:' Revolutionary superconducting thruster harnesses Earth's magnetic field in 1st orbital test
"We are essentially looking to remove all reliance on Earth's resources so that we can build a sustainable industry in space."
Orlando Magic's Most Confusing Move in Free Agency
Orlando’s decision to re-sign Jonathan Isaac despite plummeting production and injury history sparks criticism, as analysts question prioritizing loyalty over finding a reliable veteran presence.
Flipper Zero firmware development continues with community help
Flipper Devices says development of the Flipper Zero firmware will continue, albeit with a smaller internal team and greater reliance on community contributions.
NATO tensions push Europe to chart a path past Washington
Ahead of a major NATO summit in Ankara, Turkey next week, strain on the alliance is pushing European lawmakers toward a new posture—one that is less reliant on Washington.
Facing Barbs and Pressure From Trump, Europe's Leaders Close Ranks
ROME (AP) — U.S. President Donald Trump’s attacks on Italy’s premier have had an unintended consequence. After Trump questioned Italy’s reliability as a wartime ally and claimed Giorgia Meloni had groveled for his attention, European leaders rallied to Meloni's side, thawing what had been a frosty ...
ASU scientists unveil new methods to extract reliable truth from imperfect data
Scientists at Arizona State University are advancing how they interpret complex, imperfect data — challenging long-standing assumptions in fields ranging from imaging to cellular biology. In two papers published in Nature Communications and Proceedings of the National Academy of Sciences, the team introduces fundamentally new approaches to solving “inverse problems,” where researchers work backward from noisy observations to uncover the underlying reality.
Democratic socialist Melat Kiros poised to become the first Gen Z woman in Congress
Kiros, a political newcomer, topped 15-term-incumbent Diana DeGette in the Democratic primary in Colorado's 1st Congressional District, a reliably blue House seat.
Series of protests held across New York against Hochul's nuclear agenda
The event comes on the heels of the governor’s kickoff of the Nuclear Reliability Backbone process earlier this month.
It looks like PlayStation 6 is going to cost Sony about $1,000 to make, which likely means it will cost more than that at retail
The cost to make a single unit of the PlayStation 6 has gone up, according to new information from a reliable insider.
Who slept worst last night: Valtteri Bottas
The Finn had a rough weekend in Austria, battling reliability issues that echoed the fortunes of backmarkers of old
Galaxy Z's days are apparently numbered: Accessories point to a very unusual name for Samsung's iPhone Ultra competitor
At first, it was called the Galaxy Z Wide Fold or the Galaxy Z Fold 8 Wide, then—according to generally reliable sources—simply the Galaxy Z Fold8. Now a fourth name has surfaced for the compact and wider iPhone Ultra alternative, that Samsung will unveil on July 22 alongside the updated Galaxy Z Fold 8 Ultra. However, as authentic as these images seem to be, there are doubts.
Bond girl Eva Green is 'recovering' after suffering an injury on “Wednesday” set
The frequent Tim Burton collaborator has joined the show as Aunt Ophelia Frump.
Bond girl Eva Green is 'recovering' after suffering an injury on 'Wednesday' set
Former Bond girl Eva Green is recovering after suffering an injury on the set of 'Wednesday' season 3, which will see her portray Aunt Ophelia Frump.
Sony’s New Blu-ray & DVD Player Upscales DVDs to Near-HD Quality - Bring Your Old DVDs To Life Again
In a time when streaming services continue to raise prices, fragment content libraries, remove content, and push intrusive ads, many households are rediscovering the reliability and ownership of physical DVDs and Blu-rays. Sony has answered this shift with the release of its latest affordable disc player: the Sony BDP-S1700U. Priced at just $114.99, this sleek […]
Satya Nadella said every company should build its own AI model
Satya Nadella said there should be "as many models in the world as firms in the world" and that reliance on a small set of models pose economic risks.
Samsung Galaxy A27 5G Brings an Immersive Display and Awesome Intelligence to More Users
Newest addition to the Galaxy A series features an Infinity-O display, combining a seamless viewing experience with reliable performance and intelligent tools for more users
Most IVF ‘add-on’ treatments have no effect on fertility or remain unproven, study says
Review shows majority of procedures offered alongside standard IVF not backed by reliable evidence
Warton grad who used to pressure wash homes raises $40M to help plumbers, electricians run businesses with AI
George Eliadis, 24, raised venture capital funds from Andreessen Horowitz and Sequoia Capital for Probook, his AI platform for home service businesses.
Wharton grad who used to pressure wash homes raises $40M to help plumbers, electricians run businesses with AI
George Eliadis, 24, raised venture capital funds from Andreessen Horowitz and Sequoia Capital for Probook, his AI platform for home service businesses.
The 4 PSI Rule For Tires: What Is It, And Is It Reliable?
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Is SMIC N+3’s Metal Pitch Smaller than Intel 18A’s?
Almost four years ago, we published that SMIC had started shipping 7 nm (N+1) chips. Now, SMIC is shipping its third-generation 7 nm (N+3) process in Huawei’s Kirin 9030, with a minimum metal pitch of 32.5 nm, about 10% tighter than the 36 nm minimum metal pitch shipping in Intel’s latest Panther Lake CPUs on 18A. The headline is true, but incomplete cherry picked metric. N+3 reaches the density of TSMC N6 through aggressive DUV multi-patterning and design-technology co-optimization (DTCO), but it pays for that in complexity, efficiency and process control. We found this and more in our reverse engineering and teardown where we cover SMIC’s N3 process technology, Huawei’s packaging, memory, architecture, and more. SemiAnalysis has been building a state-of-the-art teardown lab in Oregon capable of analyzing the world’s most advanced and important chips over the last year and half. We have already generated revenue on advanced datacenter chip teardowns including our recent reverse engineering of a major TSMC customer’s COUPE CPO optical engine + EIC 3D stack. This is the first public report from the SemiAnalysis Teardown Engineering & Evaluation Lab, or STEEL for short. The lab is aggressively scaling up and out and we’re excited to announce it publicly. This is a bit of inconvenient timing for TechInsights as they are private equity owned and currently being sold while having enjoyed virtually no credible competition for decades. This has led to TechInsights underinvesting in CAPEX. SemiAnalysis exceeds TechInsights in revenue despite no venture or private equity ownership and being founded only 6 years ago. Because we have no external investors and are founder led, we move faster, build faster, and we can release client chip teardowns for free regularly, while focusing on datacenter for our major clients. Here’s the first public image from our lab, the HiSilicon Kirin 9030 Pro SoC: This report will detail our teardown of the Kirin 9030 and our findings on SMIC’s N+3 process, the most advanced in China. For comparison, we’ll show our teardown of the MediaTek Helio G99, made on TSMC N6. Through this comparison, we can look at the effect of export controls – SMIC N+3 and TSMC N6 are comparable nodes, but one is heavily export-controlled, the other free to use the West’s most advanced equipment. Here we see both China’s progress and constraints. SMIC N+3 reaches TSMC N6-class logic density, but it requires far more aggressive DUV multi-patterning, so it does not match N6 on process maturity or cost. The Kirin 9030 Pro performs similarly to three-year-old Android flagships, and trails far behind the current flagship SoCs from Apple, Qualcomm, MediaTek, and Samsung. The efficiency gap is even wider. Export controls have not stopped Huawei and SMIC from shipping advanced silicon, but they have forced a different path. Without EUV, SMIC is leaning harder on DUV multi-patterning, DTCO, and increasingly complex integration. The roadmap continues forward through tighter design rules and backside power, but each step adds cost and process risk. Huawei’s τ scaling and LogicFolding show another path: stacking active logic and recovering density through advanced packaging and system-technology co-optimization (STCO). To understand the Kirin 9030, we must first understand Huawei’s SoC history. HiSilicon is Huawei’s chip design arm, responsible for the Kirin smartphone SoCs, Kunpeng server CPUs, Ascend AI accelerators, and switch/router networking silicon. Before export controls, Huawei was TSMC’s largest customer – the only customer on TSMC’s first EUV node, N7+, and among the first on N5, alongside Apple. That ended in late 2020. Huawei switched to Qualcomm SoCs in its flagship smartphones, though export controls limited them to 4G-only variants. In late 2023, Huawei returned to in-house silicon with the Kirin 9000s, a successor to the Kirin 9000, fabricated on SMIC N+2 instead of TSMC N5. In the following years, they released the Kirin 9010 and 9020 on the same N+2 process. These chips used Huawei’s in-house TaiShan CPU cores and Maleoon GPU. We have not torn down a Kirin 9020 ourselves, so the predecessor die shot is from Kurnal. The die shots show how Huawei spent its silicon budget: which functional blocks are where, and how their areas compare to the predecessor. First, a quick guide to the major blocks on the die. The total die area is nearly identical, but the 9030 uses that area more aggressively. A denser process lets Huawei fit an extra middle CPU core, more GPU and NPU cores, and larger caches into the same footprint. In contrast, the Helio G99 is a much smaller, low-cost SoC, built for budget smartphones rather than a flagship device. While the Kirin 9030 is ~140 mm², the G99 is only ~29 mm², roughly one-fifth the area. The underlying TSMC process technology, however, is directly comparable as a baseline for analyzing SMIC’s. The Kirin 9030 is an evolutionary refresh, not a clean-sheet design. Its CPU, GPU and NPU cores carry over the 9020’s families, and the gains come from three levers: the SMIC N+2-to-N+3 process step, DTCO and floorplan work, and incremental microarchitecture. Area is where the first two show up, and the 9030 scales well here. Performance and efficiency are the harder test. Huawei’s design holds up better than its node would suggest, but the chip still trails, both because N+3 sits behind the leading-edge nodes and because its cores, while competent, remain a few generations behind the newest designs. The new prime core is an incremental update. The main changes are a 10% frequency increase from 2.5 GHz to 2.75 GHz and a doubling in the L2 cache from 1 MiB to 2 MiB. Despite the increased cache, the core size decreased by 7.6%. Excluding the private L2 cache, the core size decreased by 21%. This is a large reduction for an incremental node. Compared with the TaiShan New V120 core in the Kirin 9020, the Kirin 9030’s middle core is almost unchanged architecturally, yet each core shrinks by ~22%. Most of that comes from the move from N+2 to N+3, with layout likely accounting for the rest. Visually, the most noticeable change is the increase from 3 middle cores to 4. There is also a 20% increase in the shared L3 cache of the big cluster. This helps to improve multi-core performance without sacrificing much in terms of area. Even with each core shrinking, the big CPU cluster’s total area is essentially unchanged. The per-core savings went back into an additional middle core and larger caches. The tiny cores shrank less than the prime core (excluding its L2 cache) and less than the middle cores. This is likely because fixed overhead is a larger share on a small core. We cannot resolve any architectural changes from the die shot alone, but the per-clock and efficiency gains shown below point to more than pure process and layout scaling. The area reduction was offset by a doubling of the shared L2 cache from 2 MiB to 4 MiB, leaving the total tiny CPU cluster area slightly larger. Area is the easiest improvement to see from a die shot, but it is only one part of PPA (power, performance, area). For modern logic, power and performance matter just as much, and often more. Since Dennard scaling broke down in the mid-2000s, voltage and frequency have not scaled in step with transistor dimensions, so each node has had to fight harder for gains in performance and efficiency. The starkest comparison is not Kirin 9020 versus Kirin 9030 Pro. Apple’s efficiency cores run circles around Huawei’s prime core. Apple’s low-power core delivers 20% higher integer performance while drawing only 1 W, compared with 4.5 W for Huawei’s prime core. N+3 matches TSMC N6, but N6 is several generations old. Apple and Qualcomm build on N4 and N3P, which are denser and sit on a better voltage-frequency curve, giving them a larger transistor budget and more performance per watt. The 9030’s own cores did improve. The middle and tiny cores gained 17% and 14% in per-clock integer performance over the 9020, with floating-point flat on the middle core and up 11% on the tiny. The tiny core improves cleanly, with performance rising while power falls and efficiency increases by 45% in integer and 24% in floating point. The middle core is mixed: integer performance rises but power rises faster, cutting integer efficiency by 7%, while lower power lifts floating-point efficiency 16%. Per-clock gains at the same or lower frequency are microarchitectural, so the cores are tuned, not just shrunk. Both also failed to hold their rated maximum frequencies, pointing to thermal, power, or stability limits. Per clock, the middle core sits around Arm Cortex-A720 and the tiny core near the Cortex-A520; absolute performance trails because Huawei clocks them much lower. The prime core is roughly Cortex-X2 class per clock, a 2021 design. Apple’s 2020 M1 Firestorm core is still 35% higher per clock and 57% faster in absolute integer performance at a similar 4.5 W. The current leading edge is further ahead again: the Apple M5 P-core is 60% higher per clock and 2.7× faster, the Arm C1 Ultra 45% higher and 2× faster. Matching older high-end cores per clock is a genuine design achievement. What Huawei cannot match is the voltage-frequency curve and transistor budget of leading-edge nodes, which let Apple, Qualcomm and others spend more transistors in the same area on wider cores, larger caches and deeper buffers while running at lower voltage. Huawei’s LogicFolding roadmap is one answer, stacking active logic to recover density and shorten signal paths. We return to it later. The GPU compute units (CUs) changed more visibly than the CPU cores, moving to a more rectangular layout for both the arithmetic logic unit (ALU) clusters and the CU overall. Even with ray-tracing support added, a CU shrank ~28%. However, that shrink is offset by the increase from 4 to 6 CUs and the area outside the CUs grew 33%. Overall, the GPU cluster is larger by ~10%. The GPU is where Huawei makes its biggest gains. The Maleoon 935 is not competitive with current flagships, but it is a large step up from the 920 and reaches older-flagship territory. In 3DMark it is 70% faster in Wild Life Extreme (WLE) and 79% faster in Steel Nomad Light (SNL) than the 920; with 11% higher clocks and 50% more CUs, the ~67% theoretical uplift roughly matches WLE and is beaten by SNL. It edges ahead of the Snapdragon 8+ Gen 1 in WLE and SNL, and the Dimensity 9200 and Apple A16 in WLE, but stays far behind newer parts: the Snapdragon 8 Elite Gen 5 and Dimensity 9500 are ~2.4–2.6× faster in WLE and ~3.2× faster in SNL. The Maleoon 935 is Huawei’s first GPU with hardware-accelerated ray tracing; there it lands slightly ahead of the Exynos 2200, and on par with the Apple A16, with current flagships up to 3.7× faster. The Neural Processing Unit (NPU) saw the largest structural changes of any block, moving from a Lite and a Tiny core in the Kirin 9020 to a Lite and two Tiny cores in the Kirin 9030. Both core types also show significant layout changes. This is a reversal in Huawei’s NPU design. The Kirin 9000 5G, its last flagship chip on TSMC N5, used two Lite and one Tiny core. The series of SoCs on SMIC N+2 moved to one Lite and one Tiny core, likely for area savings. With the Kirin 9030, Huawei has shifted back toward a larger multi-core NPU cluster, but with the additional area going to a Tiny core rather than a Lite core. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. Before diving into the process stack, the package and memory are worth separating from the SoC itself. The Pro variant of the Kirin 9030 carries 12 GB of Samsung DRAM, with two stacks of four dies each. The dies were identified as the K4L2E165YD, a 12 Gb LPDDR5X-9600 device fabricated on Samsung’s 1a node, the fourth generation of its 10 nm-class DRAM after 1x, 1y and 1z. 1a has shipped in volume since 2022, so this is current memory rather than older-node inventory. The 16 GB Pro Max variants we obtained were found with both CXMT and Samsung packages. The CXMT package is marked CXDD7JEDM, with two stacks of four dies, packaged in week 45 of 2025. The inferred die dimensions from X-ray computed tomography (CT) are consistent with a known density of ~0.3 Gib/mm² for the CXMT G4 process, roughly equivalent to other manufacturers’ 1z processes. The Kirin 9030 uses a typical integrated package-on-package (iPoP) stack: multiple DRAM dies in a memory package sit above an organic redistribution layer (RDL) interposer, which sits above the SoC and package substrate. The full package is then mounted to the printed circuit board (PCB) through ball-grid array (BGA) solder bumps. The memory package substrate is a thin bismaleimide-triazine (BT) laminate carrying the LPDDR5X stack. The organic RDL interposer over the SoC routes the PoP signals around the die and carries possible dummy thermal copper pillars. The package substrate, a thicker Ajinomoto Build-up Film (ABF) build-up over a BT core, fans the flip-chip bumps out to BGA pitch and embeds the power planes. The whole stack is organic. The only silicon is the SoC and the LPDDR5X dies; there is no silicon interposer. Keeping it all-organic brings the package’s coefficient of thermal expansion (CTE) close to the PCB’s, reducing board-level warpage, and avoids the cost of a silicon interposer the SoC’s bandwidth does not need. In an iPoP stack, the memory package connects to the organic RDL interposer through an array of solder bumps. Underfill fills the gap around those bumps, adding stiffness and protecting the joints from mechanical stress. The Pro and Pro Max variants differ here, which we cover behind the paywall. The die shot and architecture tell us how Huawei allocated its silicon budget. The process tells us what SMIC can manufacture. We use the Helio G99 as the process reference for TSMC N6. Both SMIC N+3 and TSMC N6 are evolutions of previous 7 nm-class nodes. We used targeted TEM cross-sections through logic and memory regions, imaged in both fin-cut and gate-cut directions. Each cross-section caption gives its horizontal field width (HFW), the real width of the imaged area. We start at the transistor fins, then move up through standard cells, local interconnect, and SRAM. SMIC has not overtaken Intel or TSMC. It uses aggressive DUV scaling and DTCO to reach N6-class density, but that density doesn’t translate into comparable performance and efficiency, for two reasons: the node gap to leading-edge nodes, and Huawei’s core designs. Fin Profile One of the most important knobs in a FinFET process is the fin profile: the shape of an individual fin and the channel where current passes from source to drain. The ideal fin is tall, narrow, and nearly vertical. A taller fin increases effective channel width, while a narrower fin improves electrostatic control by thinning the body the gate must control. Push either too far, and the process pays for it: weaker drive current, fragile fins, taper, footing and line-edge variation that hit yield and device variability. The Intel 22 nm, 14 nm, and 10 nm fin cross-sections show how FinFET nodes have improved over time. 22 nm fins were a first-generation structure, relatively short, wide and strongly tapered. The shape limits current density and reduces gate control uniformity across the height of the fin. At 14 nm and 10 nm, Intel pushed the fins taller and narrower while also making the sidewalls more vertical. Rather than shrinking the device, these changes increase the effective channel width per fin and improve electrostatic control. The trade-off is that taller fins at tighter pitches are much more difficult to manufacture. Now, let’s compare the Helio G99 on TSMC N6 with the Kirin 9030 on SMIC N+3. Both processes are in the same class, with fin pitch of 30-32 nm on N+3 and 34 nm in our N6 cross-section. The pitch for N6 is especially interesting as N7’s HD library is generally listed with a 33 nm fin pitch, and N6 did not shrink pitches directly. Its density gains came from DTCO instead of tighter pitches. The 34 nm pitch was stable across our sampled region and serves more as a comparison against the SMIC N+3 we have not investigated further. Pinning down N+3’s fin patterning scheme takes more than one core unit. The CPU cores show a dense ~32 nm pitch, with the pitch between N-P fin pairs alternating between 78 and 88 nm. Logic alone may be consistent with dual-pitch mandrels of 120 and 110 nm, but this is a complex and unusual approach. Combining the pitch from the the 8T SRAM, which has more complex repeat unit, with the CPU core sequence allows us to reverse engineer the patterning steps with more confidence. As both the logic and SRAM should share the same base grid, a single CD mandrel lithography pattern with 128 nm pitch undergoing SAQP produces a die-wide ~32 nm grid (128 nm/4), which supports the pitch sequencing seen in both logic and SRAM cells. In the sampled cross-sections, N+3 shows a taller, narrower, higher-aspect-ratio fin than N6. The measured fin aspect ratio is ~9.5:1 on N+3 versus 7.8:1 on N6. N+3 also shows less top rounding, with an estimated radius of ~2 nm, compared with 2.8 nm on N6. Even though the fin widths differ, the ratio of top rounding to fin width tells the same story, with N+3 at 0.37 and N6 at 0.44. In a geometric sense, lower is better; a perfectly rectangular fin would have no top-rounding penalty. These are single-digit-nanometer features measured from a handful of cuts, so treat the absolute numbers as approximate. The important result is the relative gap: N+3’s fins are consistently taller, narrower and less rounded than N6’s. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. Standard Cell A standard cell is the basic building block of chip layout: a fixed-height row pairing one NMOS and one PMOS transistor that share a gate, tiled in a grid to build logic blocks. The key dimensions are contacted gate pitch (CGP), cell height (CH), fin count, and the lower-metal routing grid. To measure density, we use the Bohr metric: a weighted average of NAND2 gate area (60%) and scan flip-flop area (40%). This represents a realistic mix of combinational and sequential logic. This metric has its limitations, especially for complex cell layouts like TSMC’s FinFLEX, which alternates cells with different fin counts. Even so, it is the best metric for a pure process-level comparison. Another important measurement is the fin pitch; it refers to the distance between two fins of the same transistor. In a FinFET process, multiple fins are used in each transistor to increase the drive current and thus performance. TSMC N6 ships both a high-density (HD) library with 2 PMOS and 2 NMOS fins per cell, and a high-performance (HP) library with 3 of each. More fins under the shared gate mean more effective channel width. HP cells switch harder at the cost of area. Designers mix the two on a die, primarily spending HP cells on timing-critical paths, and matching their PPA targets. In the Cortex-A55 core of the Helio G99, we found a cell height of 240 nm for the HD cell. MediaTek has used HD cells in the G99 to minimize die size and thus cost. As an SoC for budget smartphones at ~$100, this is essential. By contrast, we found only one library in the Kirin 9030, with 2 NMOS and 2 PMOS fins. This suggests a narrower library strategy than TSMC N6, where both HD and HP libraries are widely used. This likely reflects the smaller customer base and the more constrained domestic design and electronic design automation (EDA) ecosystem. In all three CPU cores of the Kirin 9030, we found cell heights of 228 nm, 5% smaller than on N6. This is also a reduction of 9.5% over SMIC N+2’s cell height of 252 nm. SMIC N+3 and TSMC N6’s HD library both feature a CGP of 57 nm. For SMIC, this is a 9.5% shrink over N+2. In the past, CGP and cell height alone may have been enough to compare transistor density. Now, however, we must consider scaling boosters and DTCO as well. SMIC’s density gain does not come from EUV. It comes from using every available DTCO booster aggressively. First is fin depopulation: reducing the number of NMOS and PMOS fins in each cell. The first FinFET nodes started with 3 or 4 fins for each transistor. SMIC N+3 and TSMC N6 HD both use only 2 fins per transistor, trading drive strength for density. Next is contact over active gate (COAG). By landing the gate contact directly over the active gate, instead of out over the isolation region, the cell height drops. N+3 integrates COAG while N6 does not. Our N+3 gate-cut cross-sections indicate COAG, with the gate contact sitting over the active region, while N6 shows an off-gate contact. Last is single diffusion break (SDB). Diffusion breaks are inserted between cells in the same row to provide electrical isolation, but they also introduce local layout effects (LLE), layout-dependent shifts in electrical characteristics. In the past, a double diffusion break was used, consuming the space of two CGPs. SMIC N+3 and TSMC N6 instead use SDB, saving area but increasing LLE sensitivity. This must be controlled at the process level and accurately modeled in the process design kit (PDK) so that EDA tools can account for it. Overall, SMIC N+3 has a transistor density of 113.4 MTr/mm², slightly above TSMC N6 at 107.7 MTr/mm². Even without EUV, SMIC has achieved density beyond TSMC’s mature N6 node which utilizes EUV. Metal Stack The smallest critical dimension in the teardown is M0; SMIC N+3 uses a 32.5 nm local metal pitch. That is smaller than the 36 nm M0 pitch on Intel 18A in Panther Lake. However, this does not mean that SMIC has a better process than Intel 18A or TSMC N3P. M0 is a local intra-cell routing layer. Its usefulness depends on the full interconnect stack: M1 and M2 pitch, track count, via and line resistance, design rules, mask count, overlay control, and routing flexibility. The 32.5 nm M0 is consistent with self-aligned quadruple patterning (SAQP), whose four-population line-width loading we read coarsely as alternating widths of 21.5 to 24 nm; M1 and M2, at 38 and 40 nm, are consistent with self-aligned double patterning (SADP), a single A/B split. On TSMC N6, M0, M2, and M3 sit at a relaxed ~40 nm and are consistent with SADP-class double patterning, with no need for quadruple patterning. That said, we measure M2 for example at ~43 nm, likely inflated by sparse routing. We do not assign any specific layer to EUV from our cross-sections; the distinction we can draw is double versus quadruple patterning, not lithography wavelength. Transistor-level density in the front-end-of-line (FEOL) sets an upper bound, but the design is ultimately limited by what the interconnect stack can route. The lowest metals are the most important for standard-cell density, but the semi-global and global layers determine how usable that density is at the block and chip level. Two axes are commonly used for chip cross-sections: the fin-cut and the gate-cut. The micrograph above is a fin-cut and shows metals 0 through 3. This axis lets us see the even-numbered metals, with M0 right above the fins. There are two kinds of M0 lines. The first are the power rails; these are wide wires for the VDD and VSS running horizontally at the top and bottom edges of each standard cell. The wide wires measure 55 nm across, more than double the other M0 lines. Their width minimizes resistance and reduces IR drop. The second kind are intra-cell wires, short segments within the cell that connect terminals to M1. These have alternating widths between 21.5 and 24 nm. The M0 pitch is 32.5 nm, a 19% reduction versus N+2 and N6. At this pitch, DUV patterning requires more aggressive multi-patterning, increasing mask count, overlay sensitivity, process complexity and cost. M0 is below what a single DUV-defined spacer (SADP) can resolve, so SMIC cascades a second spacer step (SAQP). The cross-section reflects the cost: the M0 trenches are visibly more re-entrant (narrower at the bottom than the top) than M1 or M2 on the same chip and carry a bright barrier-rich foot where the trench meets the etch-stop layer. That shape is partly the intended damascene profile, as a slightly narrow bottom helps void-free copper fill, but its magnitude at M0 is driven by the tight pitch and the higher trench aspect ratio. Intel 18A supports an M0 pitch of 32 nm, although Panther Lake has only shipped with a looser 36 nm pitch. This is due to Intel’s heavy usage of HP libraries. Among leading-edge nodes, 18A has the loosest M0 pitches due to PowerVia. With power routing moving to the backside, congestion is reduced, and the entire front-side metal stack can be used for signal routing. M2 is the first true inter-cell routing layer. It runs horizontally like M0 but spans across multiple cells to carry block-level signals. The M2 pitch sets the cell’s track height – the number of M2 tracks that fit between the VDD and VSS rails, defining what the library calls a 6-track or 7.5-track cell. This layer is the most important, limiting the routing of entire blocks. SMIC N+3 features a 5.7-track cell. The M2 pitch is 40 nm, a 5% decrease over N+2 and the same as N6. This shrink keeps the pitch at the edge of what is possible with double patterning. Future nodes will need to increase the number of masks for M2 as reducing the number of tracks is much harder due to the limitations in routing. The micrograph above is in the perpendicular direction, the gate-cut, and shows metals 0 through 4. This allows us to see and measure the odd-numbered vertical metal layers. The M1 pitch is 38 nm, 9.5% less than N+2 and 33% less than N6. The M1-to-gate ratio matters because it sets local routing flexibility. N+2 and N+3 use a 3:2 ratio, while N6 uses a 1:1 ratio, explaining the huge differences in M1 pitch. The more M1 lines there are compared with the gates, the more flexibility there is for power and signal crossing within the cell. Routing flexibility enables more complex and better cells. Clean fractional ratios are also preferred as a grid is periodic and improves layouts. The 3:2 ratio gives SMIC more local routing flexibility than a strict 1:1 grid, but it also complicates layout and patterning. This is a DTCO choice, with SMIC increasing process complexity to recover density and routability without EUV. This 3:2 ratio is not very popular in the leading-edge nodes. TSMC has only used it on N7+, the N5 family, and the short-lived N3(B). They have switched back to a 1:1 ratio for N3E. Intel has only used it on the 10 nm/Intel 7 family, with Intel 4, 3 and 18A all using a 1:1 ratio. Samsung is the only one still using a 3:2 ratio at the leading edge, using it in the SF4 and SF3 families. It remains to be seen if SMIC will remain at a 3:2 ratio or move to a 1:1 ratio with its future nodes. The industry is still actively exploring these local-routing ratios. At VLSI 2026, imec will be presenting work on even higher ratios, including a 2:1 scheme that can reduce area by up to 14%. We will be covering the conference in a future newsletter article. Subscribe We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. The final local interconnect layer for N+3 is M3, with a pitch of 44 nm. The M3 pitch is the same as on N+2 and 10% larger than on N6. The semi-global layers carry the majority of block-level signal routing. They have a coarser pitch than the lower local layers. On leading-edge nodes, they are designed to sit at the limit of DUV single patterning. M4 through M11 pitches were found divided between 80–82 nm (M4–M6), 128 nm (M7–M10), and 148 nm (M11). Given limited sampling, it is possible these are divided further in dense routing areas. At the top are two giant metal layers, M12 and M13. These have kept the same pitches as N+2 at 1920 nm and 4600 nm respectively. While the lower layers’ pitches are generally fixed by the process and library, the upper layers vary much more in pitch and count, depending on the design. Even two smartphone SoCs on the same process can have wildly different metal stacks. The Helio G99 carries fewer routing layers, reaching coarse metal pitches of 850 nm by M9, while the larger and higher-performance Kirin 9030 keeps fine pitches until M11. SRAM At the leading edge, SRAM is much more difficult to scale than logic. TSMC’s latest nodes have seen little to no bitcell scaling, while logic still has more DTCO levers to pull. While looking for other logic libraries in the GPU compute units, we stumbled upon the SRAM. The most common type of SRAM has 6 transistors (6T), but this cell had 8 transistors (8T) instead. 8T SRAM adds two transistors to form a dedicated read port. Unlike a 6T cell, where reading disturbs the storage, the decoupled read port removes read-disturb, improving read stability and letting the cell be pushed harder for performance. At first glance, the cut looked like an unusual logic library, with each cell row having 3 fins of one polarity and 5 fins of another. The rows also alternated in orientation. Energy-dispersive X-ray spectroscopy (EDS) resolved our confusion. The cut had not landed on the GPU logic, but on the SRAM macro beside it. The unusual fin pattern was due to the SRAM library. We return to EDS in the process flow analysis behind the paywall. SRAM libraries are not like traditional logic libraries. Due to the unequal number of PMOS and NMOS transistors, they require specialized rules and layout libraries. They do not need the flexibility of logic libraries, so they are hyper-optimized for one purpose: dense, reliable memory. The SRAM cell we found is a 1:2:2-2:2 cell. This means there is 1 fin per pull-up (PU) PMOS transistor, and 2 fins per pull-down (PD) and pass-gate (PG) NMOS transistor. These 2 PU, 2 PD and 2 PG transistors would usually form a single 6T high-current cell (HCC). An 8T HCC adds a read-pull-down (RPD) and a read-pass-gate (RPG) NMOS transistor, each with two fins. We measured a cell height of 406 nm, which brings the bitcell size to 0.0463 µm². That is a theoretical peak density of 21.6 Mib/mm². We estimate that a 6T HCC would have a cell height of 292 nm and a size of 0.0337 µm². This is ~12% larger than a 6T HCC on Intel 3 and 4. We also estimate the 6T high-density cell (HDC) to have a cell height of 228 nm and a size of 0.0260 µm². This is coincidentally the same as the logic standard-cell height measured earlier. The estimate puts the cell near Samsung 7LPP/5LPP and slightly below TSMC N7/N6. That is a theoretical peak density of 38.5 Mib/mm². 6T HDC is arguably the most important cell as it is used for the largest caches in a chip, the L3 caches and system-level cache (SLC). Both the Kirin 9020 and 9030 have split the SLC into 4 banks to raise total SLC bandwidth. In the Kirin 9030, the SLC increased from 2 MiB to 3 MiB per bank. Correspondingly, the number of arrays within the bank also increased by 50%, from 16 to 24. Each array can store 128 KiB and forms an orderly pattern on the die shot. From the Kirin 9020 to the Kirin 9030, the area of a 128 KiB SLC array decreased from 0.0477 mm² to 0.0392 mm², an 18% shrink. The achieved density is 25.5 Mib/mm², 66% of the theoretical maximum. While the SLC was quite similar across both chips, the L3 has seen some major changes, particularly in terms of its layout. The total capacity also went up from 10 MiB to 12 MiB. Much like the SLC, the L3 is also split into 4 banks. In the Kirin 9020, an L3 bank consisted of 16× 128 KiB arrays and 16× 32 KiB arrays. However, an L3 bank in the Kirin 9030 instead consists of 48× 64 KiB arrays. In the Kirin 9020 L3, a 128 KiB array was 0.0513 mm² and a 32 KiB array was 0.0154 mm². The size of the 128 KiB array is different on the L3 and SLC as the assist circuitry for the two arrays differs depending on their purpose. In the Kirin 9030 L3, a 64 KiB array is 0.0210 mm². Although not a like-for-like comparison, normalized for capacity, it is 18% smaller than the 9020’s 128 KiB L3 array and 31% smaller than its 32 KiB L3 array. The achieved density is slightly lower than the SLC, at 23.8 Mib/mm², 62% of the theoretical maximum. Unlike the L3 and SLC, the prime cores’ private L2 cache uses a 2-bank design. As the prime cores’ L2 is latency-critical, it likely uses 6T HCC instead of 6T HDC. The 9020 has 16 arrays in each bank while the 9030 has 32. Each array has a capacity of 32 KiB. A 32 KiB array in the L2 shrank from 0.0171 mm² to 0.0142 mm², ~17% smaller. The density is 17.6 Mib/mm², ~59% of the theoretical maximum for 6T HCC. SRAM scaled well from N+2 to N+3, shrinking by ~19%, close to the theoretical logic shrink. The caveat is that N+2’s bitcells were unusually large, bigger than comparable 7 nm-class nodes, so part of the gain is catch-up rather than true scaling. With the insights from STEEL’s teardowns, we will be doing a deep dive into SRAM in a future newsletter article. Subscribe Everything above came out of a single STEEL teardown: die annotation, block-level area analysis and TEM cross-sections through logic and SRAM. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Future Roadmap The same cross-sections that pin down N+3 also show where SMIC can go next. Although N+3 is already close to the practical limits of DUV multi-patterning in several layers, SMIC still has a few scaling levers left. A theoretical N+4 would likely start with cell height. N+3 uses 5 M0 tracks between its power rails. Moving to 4 M0 tracks, as on SMIC N+2 and TSMC N6, could reduce cell height by roughly 15%. The routing grid is only one side of the shrink; the front end also must fit into the smaller cell. One possible FEOL lever is reducing the p-to-n isolation spacing from two diffusion grid units to one. Intel used this scaling booster on Intel 4, and TSMC did so on its N3 family. This path trades layout flexibility for density. Fewer M0 tracks reduce local routing resources, while tighter p-to-n spacing raises integration and design-rule difficulty. M2 is also constrained by the cell height shrink. For SMIC to maintain a ~5.7-track cell, M2 would need to move toward ~35 nm. That would move another layer into SAQP territory. SMIC could also reduce the CGP from 57 nm to 54 nm. Intel reached a similar CGP on Intel 10 nm/Intel 7 without EUV. The local interconnect is also tougher. If SMIC keeps the 3:2 M1-to-gate ratio, M1 would need to shrink to 36 nm and would likely require SAQP as well. If SMIC moves to a 1:1 ratio, M1 could relax to 54 nm, but it would give up routing flexibility. Under this theoretical path, we estimate that SMIC N+4 could reach a cell height of 198 nm and a CGP of 54 nm, implying a Bohr density of 137.8 MTr/mm², on par with TSMC N5 or Samsung SF4. However, the difficulty is cumulative. Each step is individually plausible, but together they make N+4 harder than the transition from N+2 to N+3. It will likely take longer, cost more, and carry less process margin. A theoretical N+5 would require a larger integration shift. One possible path is backside contacts (BSCon), moving power routing and source/drain contacts to the backside, which would reduce front-side routing pressure and enable another reduction in cell height. The front-side metal pitches could relax to reduce the process complexity. M0 would likely relax slightly to ~34 nm, and M2 and M4 pitches could relax further. CGP is unlikely to shrink much further. Even with EUV, 48 nm has been the practical limit for yield and process control. This approach would allow N+5’s cell height to fall to 170 nm and its CGP to 53 nm. This implies a Bohr density of 163.6 MTr/mm², on par with Intel 18A’s HP library. However, this would not make N+5 cost-competitive with the leading edge. It would reach a similar density through a much more expensive route. The integration difficulty rises sharply, with new process flows for backside alignment, wafer thinning, contact reveal, and backside metallization. Past this point, standard density and interconnect scaling become increasingly unattractive. That is where Huawei’s roadmap stops looking like a normal foundry roadmap and starts looking like a packaging roadmap. At ISCAS 2026, Huawei unveiled its tau (τ) scaling law, reframing process scaling in the time domain. τ is the time cost of data movement and processing: switching delays in transistors, RC signal propagation delays in circuits, compute, memory, and networking latency. Outside Huawei’s terminology, this is called system-technology co-optimization. This is Huawei’s answer to its lack of EUV lithography. Without EUV, planar density cannot keep pace with TSMC, Intel, or Samsung. If transistor density cannot shrink further, Huawei’s alternative is to shorten wires, reduce buffering, and stack logic vertically. “LogicFolding”, Huawei’s implementation of this new scaling idea, is, in practice, an aggressive 3D stacking approach. AMD V-Cache places SRAM above or below a CPU die. AMD’s MI350X places active interposer dies (AIDs) underneath accelerator and compute dies (XCDs), with the AIDs handling cache, IO interfaces, the network-on-chip (NoC) and embedded metal-insulator-metal (MIM) capacitors. With LogicFolding, parts of the same logic block are split across multiple active dies bonded face-to-face at ultra-fine pitch. This allows Huawei to shorten some critical paths and reduce buffer overhead, not merely add cache capacity or offload the IO and interconnect. Shortening wires is where the higher clocks come from. A large share of a modern core’s delay and energy budget goes into driving long interconnects and the repeater buffers along them. LogicFolding distributes a block’s critical-path gates across multiple stacked tiers bonded at a very fine pitch, so the bond interface behaves like an additional metal layer and the longest paths get shorter. That is how Huawei expects to recover frequency and efficiency it cannot get from the process alone. Huawei’s roadmap shows its intent. Prime core frequency is targeted to rise from 2.75 GHz in the Kirin 9030 to roughly 5 GHz by 2031, far beyond what planar scaling alone could deliver. Prime cores with 3.1 and 3.39 GHz clocks are being tested in its labs, although their power consumption is unknown. Beyond that, chips are in the design, simulation or pathfinding phase, meaning the frequencies are targets. However, the direction matters more: LogicFolding also helps with performance, not just density. The catch is that Huawei’s density claim is not directly comparable to foundry densities. A stacked design can report more transistors per package footprint by adding active layers, even if each patterned die remains well behind TSMC or Intel in front-end density. This is how Huawei can claim to reach foundry 14A-equivalent density by 2031. This is not a like-for-like foundry comparison, with Huawei using stacked logic and measuring density per package footprint. On a normalized Bohr-density basis, SMIC N+3 is ~114 MTr/mm², 38% less than Intel 18A’s HD library. Huawei’s 3D roadmap closes the gap by stacking active logic, reaching 215 MTr/mm² by 2030. In 2031, the roadmap density jumps to 295 MTr/mm², implying either a third active layer, partial EUV insertion or aggressive planar DUV scaling. Huawei’s methodology makes other foundries look much denser as well. Applying it to AMD’s MI450X with an N2 top die on an N3P base die yields a theoretical density of 460.2 MTr/mm² in 2026, compared with Huawei’s 295 MTr/mm² in 2031. This Kirin 9030 does not use LogicFolding, remaining in a conventional mobile SoC package. Instead, it forms the baseline for how far Huawei and SMIC can push planar scaling. Future teardowns of Kirin and Ascend chips will show both planar logic density and Huawei’s hybrid bonding solutions. Export controls changed China’s optimization problem rather than ending it. EUV restrictions raised the cost and complexity of leading-edge manufacturing without freezing it. SMIC reaches N6-class logic density through DUV immersion, SAQP and DTCO, while Huawei shifts more of the burden onto architecture, packaging and system-level integration. Future nodes will be tougher. N+3 still had room to tighten local metals and reduce cell height and CGP. Further scaling without EUV leaves fewer levers. More aggressive multi-patterning adds masks and overlay error. SMIC can keep pushing DUV, but each step will get more expensive and less forgiving. The design side is just as critical. Huawei had domestic EDA tools and flows before the Kirin 9030, with the Kirin 9000s, 9010 and 9020 making that clear. Huawei was able to ship multiple consumer SoCs on SMIC N+2 and N+3 while cut off from the Western EDA stack. US export controls restricted EDA tools for advanced chips in 2022 but did not target tools for more mature chips. In 2025, the US government briefly placed much broader restrictions on EDA software from Synopsys, Cadence, and others, before lifting them less than two months later as part of a trade deal tied to rare earths. Huawei has been unable to access those tools because it remains on a US trade blacklist. That forced Huawei, SMIC and Chinese academic institutions to build their own tools and flows. Researchers at Peking University recently announced a prototype EDA tool for Huawei’s LogicFolding architecture, which requires a new flow to handle the multilayer layout and floorplan. This is not the same as replacing the full Synopsys or Cadence stack, but it shows where domestic EDA is headed: toward tighter co-optimization between architecture, process and packaging. These advances are also diffusing into the Chinese ecosystem. SMIC is licensing its N+2 and N+3 processes to HLMC/Hua Hong at the government’s direction rather than by choice. If the same process learning feeds into Ascend accelerators for AI training and inference, the choke point shifts from one named fab to an ecosystem. Alibaba’s T-Head silicon arm and Cambricon, a Chinese AI chip designer that is expected to supply ByteDance, could also be major beneficiaries. Sanctions aimed at SMIC alone become less effective once the manufacturing knowledge has spread to other fabs and design houses. China is not closing the gap with Intel, Samsung and TSMC. The teardown shows the opposite in several places: no EUV, no backside power, higher process complexity, and visible trade-offs. But China is still advancing. If domestic chips become good enough for phones, inference, networking and security-sensitive workloads, they can matter strategically without matching TSMC at the leading edge. Behind the paywall, we show what else STEEL can do, with material and process flow analysis of SMIC N+3, and analysis of the Kirin 9030 package. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline, access the full Kirin 9030 and SMIC N+3 analysis or to commission a custom teardown, contact sales@semianalysis.com.
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