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Thermodynamic Computers Go With the (Energy) Flow
Today’s computers need safeguards against random energy fluctuations. Thermodynamic computers would put those fluctuations to use.
National Science Foundation honors KU Engineering professor for protecting public trust in global supply chains
Sumaiya Shomaji, assistant professor of electrical engineering & computer science, received an NSF CAREER award.
Microsoft Secure Boot has been broken for most of its existence
Old and forgotten "shims" Microsoft failed to revoke have made Secure Boot bypasses simple.
OpenAI's First Device Will Be Movable, Screenless Speaker Built as AI Companion
(Bloomberg) -- OpenAI's much-anticipated push into consumer devices is slated to begin with a mobile, screen-free smart speaker designed to be a new type of home computer for the AI era, according to people familiar with the matter.Most Read from BloombergUS Hits Iran With Strikes, Blockade as Trump Plans Hormuz ChargeTrump Shelves 20% Fee for Hormuz Cargo After Gulf PressureA Cocaine Bust in Spain Leads All the Way to Wall StreetUS CPI Falls for the First Time Since 2020, Core Gauge Flat'We Fal
2026 Open Championship odds, picks: Scottie Scheffler, Rory McIlroy predictions by model that nailed 17 majors
After 10,000 simulations, SportsLine's computer reveals its British Open best bets for Royal Birkdale this week
Siri AI makes the Apple Watch finally feel like a wrist computer
Or you could just use Siri to set timers — it still does that well.
The Quintessential Trump-era Politician
In 2020, I wrote an article about collaboration and collaborators. The title was History Will Judge the Complicit, and it started with the story of two famous East Germans, Markus Wolf and Wolfgang Leonhard, who both landed in East Berlin just after the end of the war. Although they came from very similar backgrounds, the former stuck with the regime, eventually becoming its spy boss; the latter, horrified by the brutal reality of Soviet-style communism, escaped. By way of juxtaposition, I also wrote about Lyndsey Graham and Mitt Romney. These two men also made very different decisions when confronted by Donald Trump’s assault on the ideals that they had both grown up believing: A glance at their biographies would not have led many to predict what happened next. On paper, Graham would have seemed, in 2016, like the man with deeper ties to the military, to the rule of law, and to an old-fashioned idea of American patriotism and American responsibility in the world. Romney, by contrast, with his shifts between the center and the right, with his multiple careers in business and politics, would have seemed less deeply attached to those same old-fashioned patriotic ideals. Most of us register soldiers as loyal patriots, and management consultants as self-interested. We assume people from small towns in South Carolina are more likely to resist political pressure than people who have lived in many places. Intuitively, we think that loyalty to a particular place implies loyalty to a set of values. But in this case the clichés were wrong. It was Graham who made excuses for Trump’s abuse of power. It was Graham—a JAG Corps lawyer—who downplayed the evidence that the president had attempted to manipulate foreign courts and blackmail a foreign leader into launching a phony investigation into a political rival. It was Graham who abandoned his own stated support for bipartisanship and instead pushed for a hyperpartisan Senate Judiciary Committee investigation into former Vice President Joe Biden’s son. It was Graham who played golf with Trump, who made excuses for him on television, who supported the president even as he slowly destroyed the American alliances—with Europeans, with the Kurds—that Graham had defended all his life. By contrast, it was Romney who, in February, became the only Republican senator to break ranks with his colleagues, voting to impeach the president. “Corrupting an election to keep oneself in office,” he said, is “perhaps the most abusive and destructive violation of one’s oath of office that I can imagine.” In the wake of Graham’s unexpected death on Saturday, I wrote about him again. He was, in many ways, the quintessential politician of Trump’s Washington, a man who shifted 180 degrees. Graham had been a fervent American patriot, proud reserve officer and military lawyer; he became one of the most important defenders of a president who believes soldiers are “suckers and losers” and shows no respect for law of any kind. As his politics changed, his language grew coarser and his behavior grew worse: He urged Israel to “level the place” in Gaza, and insulted the Danish prime minister in Munich, prompting a colleague, Senator Elissa Slotkin, to issue an apology. Here’s an excerpt from the article, which you can read in The Atlantic (gift link here) Like his close friend John McCain, Graham believed that America should stand at the center of a broad democratic alliance. The few times I met him were in that context, at the Munich Security Conference or at other European-American gatherings, which he once attended with great regularity. He also took seriously the practice of American democracy at home. In a 2014 conversation with The Atlantic, he described himself as a pragmatic politician who eschewed populist slogans. “I know Washington is broken, but what’s broken about it is everybody yelling and nobody trying to fix it,” he said. “I’m trying.” When Donald Trump first appeared in U.S. politics, Graham recognized him immediately for what he was: the spokesman for an alien ideology, one radically different from the idealistic patriotism that Graham had practiced and preached since childhood. Trump privately mocked the military that Graham loved as nothing but “suckers and losers.” He put falsehoods, cynicism, and personal greed at the center of his politics, while expressing disdain for transparency, accountability, and democracy itself. In 2015, Graham described Trump as a “race-baiting, xenophobic, religious bigot” who should “go to hell.” Also as a “nutjob.” When Trump won, Graham understood, as did so many others, that he would have to make some important choices. For a while, he went silent. In the spring of 2016, I saw him at one of those conferences in Europe. He seemed too depressed to speak. But then, like many other Republicans—and, more important, like many other people who have lived under political occupation or experienced radical regime change—he made the decision to abandon his previous ideals, to bury the patriotism that was once so important to him, and to become, instead, a loud, opportunistic collaborator. As I wrote in 2020, it’s very hard to look in to anyone’s heart and to understand their motivations from the outside. But it does seem that Graham had a deep need to be relevant, to be in the game, to be a player, at any cost. And that, rather than any particular achievement, is what he will be remembered for. Continuing to monitor conflicts of interest, ostentatious emoluments, outright corruption and policy changes that will facilitate outright corruption. (Read my original article, Kleptocracy Inc and check out the SNF Agora Institute chart) June 27 Trump diverted funds from more than 900 projects nationwide—including safety upgrades at national parks—to finance beautification projects around Washington, including $700,000 used to fix a White House walkway. June 28 After a years-long Department of Justice investigation into Abbott Laboratories over its management of a baby formula facility where potentially deadly bacteria turned up enough evidence to criminally charge the firm, top department officials instead opted for a financial penalty—illustrating the department’s move away from strict corporate enforcement under the Trump administration. June 29 Defense Secretary Pete Hegseth stacked the Defense Policy Board—which is charged with providing independent national security recommendations to the Office of the Secretary of Defense—with Trump allies, including tech billionaire Marc Andreessen, who has invested in defense contractors like OpenAI and SpaceX, after purging the panel last year. Trump purchased between $1 million and $5 million worth of stock in Axon—which makes about 90% of US tasers—two weeks before ICE solicited bids for a $220 million taser contract. The White House unveiled limited-edition US passports for America’s 250th birthday, featuring a portrait of Trump overlaid on the Declaration of Independence. June 30 Trump made around $1.2 billion from his various crypto companies last year, including more than $500 million from World Liberty Financial and $600 million from sales of his meme coin. Trump is considering issuing 250 pardons to commemorate America’s 250th birthday. These are expected to be largely doled out through the Office of the Pardon Attorney’s informal network of intermediaries. White-collar defense attorneys say they can typically win pardons for clients for $2 million. Last year, Trump administration officials awarded a no-bid contract worth up to $500 million to Clark Construction for the White House ballroom—negotiations in which the president was directly involved. July 1 The Amazon MGM Studios documentary about Melania Trump earned the First Lady more than $10 million. Trump made hundreds of individual stock purchases worth as much as $12.8 million the day before his announcement pausing “Liberation Day” tariffs for 90 days sent the S&P 500 soaring nearly 10%—one of the largest single-day gains ever. Mar-a-Lago and Trump National Doral saw record surges in revenue during Trump’s first year in office, earning $77.5 million and $121.9 million respectively, compared to average annual revenues of $25 million and $75 million during Trump’s first term. Entities across the Persian Gulf paid more than $300 million to Trump’s businesses last year, including $263 million from the sale of half his stake in World Liberty Financial to a firm backed by Sheikh Tahnoon bin Zayed Al Nahyan, a top UAE royal and brother of the country’s president. Kash Patel failed to properly disclose his stock purchase of a Department of Justice contractor, MicroStrategy, worth up to $250,000 last year, despite laws requiring disclosure within 45 days of the trade. July 2 Trump has been directing administration officials to steer more government contracts—so far worth more than $2.4 billion—to Jeff Bezos’s Blue Origin aerospace firm, after Amazon gave $1 million to Trump’s inaugural fund, donated to the White House ballroom project, and reached a $40 million deal to license a Melania Trump documentary. Alongside the billions he made from cryptocurrency last year, Trump earned millions of dollars from real estate licensing fees, including $21 million from organizations in the UAE and $9.2 million in Saudi Arabia, along with smaller sums from merchandise sales, including $4.7 million from Trump Watches and $35,920 from 45 Guitar, a guitar brand endorsed by the president. House Democrats accused consultants tied to the Trump administration of financial fraud, alleging they gave prospective donors to America250—the bipartisan committee created by Congress to celebrate the nation’s semiquincentennial—the banking and routing numbers for Freedom 250, the White House’s fund for events like the UFC cage fight. Democrats also allege that Freedom 250’s CEO traveled to the World Economic Forum in Davos to solicit donations from foreign government officials and business leaders. The Trump administration’s proposed rollback of gun regulations would lift the prohibition on mailing handguns to individuals, a significant win for GrabAGun—the direct-to-consumer firearm retailer on whose board Donald Trump Jr. sits and in which he holds a 1.1% ownership stake. GrabAGun currently must rely on a middleman to transfer firearms to customers. Trump’s financial disclosure revealed that he made more than 21,000 securities trades during his first year back in office, growing his investment account to at least $858 million across stakes in around 1,600 companies, compared to the 13 total trades Joe Biden made during his entire presidency. July 4 Nearly 1 million people who bought the president’s meme coin—Trump Coin—collectively lost $3.8 billion on the token, while he walked away with $636 million. July 6 Shares of Dell closed up 4.4% after Trump recommended people buy the firm’s computers during a speech announcing the launch of Trump investment accounts for children, boosting the more than $1 million worth of shares the president owns in the company. July 9 Federal Reserve Chair Kevin Warsh named crypto investor and Trump ally Marc Andreessen to a task force aimed at modernizing the Federal Reserve, including rethinking its approach to inflation—a key factor keeping interest rates elevated. Palm Beach International Airport has officially changed its name to Trump International Airport—a move that will require Florida to pay royalties to the president’s family for licensing his name. I was there a few months ago, during a trip to Barcelona. The sculptures were a revelation, I’d never seen so many together before. Each one has its own personality. Enjoy the good weather, if you are lucky enough to have it. History Will Judge the Complicit The Quintessential Politician Autocracy Inc Open Letters, from Anne Applebaum is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
A 200-year-old physics experiment could help build future computers
Scientists at Nanyang Technological University in Singapore have discovered a surprisingly simple way to create exotic light structures called optical skyrmions using a 200-year-old optical effect known as the Poisson spot. Instead of relying on expensive, highly engineered materials, they simply shine a laser at a tiny circular disc, producing stable swirling patterns in light that researchers believe could one day help power advanced data storage, communications, and computing technologies.
Cloud Computing for Life Science Research: AWS, Google Cloud, and HPC—Which Do You Need?
A practical, no-hype comparison of cloud computing for life science research: when AWS, Google Cloud, or institutional HPC actually fits. Explore the guide.
Quantum Computers Identify Nuclear Fusion Fuel Chemistry in Major First
Computing the future of fusion.
Speak Silently With An Ultrasound Probe
Speaking is much faster than typing, and while it’s an increasingly convenient way to interact with computers, it’s hardly private. Providing speech privacy in a way we haven’t se…
The Right Way to Get Rid of Old Laptops, PCs and Printers (and It's Free)
Getting rid of old computers and printers responsibly is free, accessible and considerably simpler than most people assume.
Astronomers discover unexplained spin pattern in early galaxies - Futura-Sciences
A consistent pattern in the deep universe Lior Shamir, an associate professor of computer science at Kansas State University, analyzed images of 263 early galaxies captured through the JWST Advanced Deep Extragalactic Survey. Shamir used quantitative shape analysis to determine the rotation of each galaxy. The data revealed that roughly...
Yes, Computer Science Can Teach Social-Emotional Skills. Here's How
Though seemingly disparate, computer science and student mindfulness can mutually reinforce one another.
MAGA's attack on science is even worse than it looks
In my post on America’s 250-year anniversary, I argued that respect for the individual was the “secret sauce” in the U.S.’ long-lasting preeminence among nations. But it was certainly not the only factor. There were plenty of institutional innovations that helped the U.S. stay on top — economically, militarily, and in terms of the attractiveness of its society. One of these was American science. Today we take things like the modern research university, government grants for science, public-to-private research spinoffs, etc. for granted, but a lot of that infrastructure wasn’t there before World War 2. It was either invented or scaled up massively by the U.S. government in the postwar period, led by far-sighted scientist-bureaucrats like Vannevar Bush (pictured above). If you want to read about this history, a good place to start would be Jonathan Gruber and Simon Johnson’s excellent book Jump-Starting America. Those scientific institutions didn’t exist in a vacuum, however. They were backed by the U.S. government’s abiding faith in the power of science — and, even more fundamentally, by deep popular trust in the scientific enterprise. Science gave us radar and the atom bomb in wartime, and in peacetime it gave us plastics, vaccines, cheap food, and a thousand other things that made our lives easier. Science was also the driver behind American industry — chemicals, aerospace, telecommunications, computers, electronics, and so on. We owed science our jobs, our livelihoods, our comfortable living standards, and our greatness and power as a nation. It’s little wonder that both political parties, even as they fought viciously over other issues, were steadfast in their support of science. For a long time, the only people who distrusted science were a hippie fringe on the left who disliked modernity (or thought they did, anyway), who also disliked American industry and American power, and who subscribed to an early version of degrowth environmentalism. America’s scientific enterprise is still strong, especially compared to the systems in Europe, Japan, Korea, and other developed countries. It has lost a lot of ground to China in a relative sense, but a lot of that is because of China’s incredible growth; as China has poured untold amounts of money and talent into its research labs, spending and output have overtaken the U.S. by some measures. There are a few ways in which China’s rise creates problems for American science — for example, top scientists can choose to work in China instead of in the U.S. — and of course there’s the concern that China’s technological strength will help its military to reign supreme. But overall, China’s rise in science should be good for American science, since American scientists can use Chinese discoveries for free and build on them. The much bigger problem is that the scientific enterprise America built during and after World War 2 is now being threatened with absolute decline. The biggest problem, of course, is that much of the country — the Republican half — has basically lost faith in the scientific enterprise. To what degree this loss of faith is justified is an open question, and deserves to be discussed openly. But the larger point — that the system that powered American dominance is under threat — is true either way. Most Americans still trust science, but MAGA Republicans don’t There’s a myth, popular in right-wing circles, that scientists have lost the trust of regular Americans — either due to the increasingly left-wing composition of academic departments, or to misbehavior during Covid, or to DEI-related research taking over science, etc. This also fits with a wider narrative that Americans are losing trust in all of our institutions. But it just isn’t true. Poll after poll shows that on the whole, Americans still trust scientists and want to spend more on science. For example, here’s a Pew poll from late 2025 showing that although about a fifth of Republicans did lose confidence in science in 2020, two thirds still have at least “a fair amount” of confidence: That same poll found that scientists are among America’s most trusted groups — even better trusted than the military! In fact, Americans trust scientists more than people in most other countries do. Other polls show that although Republican trust in science has dropped somewhat, Republican support for spending more on science remains very strong: A Pew poll in 2023 found the exact same thing: So when MAGA types tell you about scientists losing their credibility, or a drop in trust in science, they’re only talking about themselves. Whatever left-wing politicization of science happened during the Biden administration — and there was definitely some of that — it was not enough to make most Republicans lose faith in the scientific enterprise, or favor research cuts in order to purge unwanted ideology from the system. That doesn’t mean I think progressives should continue down the path of politicizing scientific research. They should not, and Biden made real missteps in this area. Objectivity clearly matters for public trust of science in the long term. But as of right now, there’s no crisis of trust in science, except among the smallish minority of people who are running around screaming that there’s a crisis of trust in science. But despite science’s overwhelming popularity and public trust, Trump and his administration are launching an unprecedented and devastating attack on American science — cutting funding, and forcing science projects to undergo ideological review by government commissars. Trump’s comprehensive attack on science
Computer science student gains experience in IT and business operations at Stuckey's internship
Adir Ali Yerima ’29 shares how Oglethorpe prepared him for his current internship at Stuckey’s Corporation.
‘Action required,’ ‘Leadership chose, YOU’: The recipe behind fundraising emails that can spread like weeds
Campaigns and political causes are mining for small-dollar donations through a flood of email solicitations. Wind up on one list and the asks will multiply.
Beloved computer science professor who brought internet to University of Calgary retires after 6 decades
Sixty-two years after Jon Rokne stepped foot on campus, the computer science professor who brought the internet to the University of Calgary has retired — on paper. There isn’t a chance the 85-year-old will stop working.
Computer Science Alum Pair Gains Key Experience Overseeing Data Science Projects as BU Spark! Postbaccalaureate Fellows
Learn how a pair of MET CS alums—one MS in Software Development alum and one who earned a MS in Computer Science with a concentration in Data Analytics—got vital experience overseeing data science projects as postbaccalaureate fellows in the BU Spark! program.
Scientists used AI to crack one of water's biggest mysteries
Water’s odd behavior becomes even more dramatic when it is supercooled, but scientists have struggled to compare the many different ways of describing its microscopic structure. Researchers at the University of Osaka used an AI model trained on computer simulations to evaluate 16 different structural descriptors. The system identified the most effective ways to distinguish between water’s two competing liquid states, providing a clearer framework for studying one of nature’s most mysterious substances.
Hungary moves to overhaul university models banned from Horizon Europe
Hungary’s new government is aiming to overhaul the governance model of the institutions and universities that lost access to Horizon Europe and Erasmus+ funds “in a short timeframe,” according to Péter Horváth, the new state secretary for science policy and innovation. “As of today, the two non-university foundation-controlled institutions under my remit have been transformed,” he told Science|Business. “We hope the universities will follow and that this will be enough to satisfy the EU’s demands.”Under the previous government, led by Viktor Orbán and his Fidesz party, many academic and scientific institutions were restructured and made into special public trust foundations, with members strongly linked to the government given lifelong mandates and significant decision-making powers with little oversight. The European Commission deemed that this undermined academic freedom and transparency in the country, leading to a ban on 34 institutions in 2022, including 21 universities, which saw academics in Hungary lose access to Horizon Europe grants. The new Hungarian government, elected in May and led by Péter Magyar and his Tisza Party, has promised to dismantle this governance model and restore the institutions to EU programmes. As a result, the European Commission has promised to return access to the Erasmus+ education mobility programme, but so far no concrete agreement has been made on the Horizon Europe programme for research and innovation. Hungary has already made legislative changes in June to allow the institutions to be reformed and set a timeline for the implementation.The non-university foundations, which are mainly cultural centres such as the Foundation for Hungarian Culture or the Makovecz Campus Foundation, will all be dissolved by August 31 this year, a date tied to EU-set milestones that Hungary must meet to unlock frozen funds, with control transferred to relevant ministries. Meanwhile, the universities will have until 31 August 2027. For each university foundation, the government will set the dissolution date and the body to take over operations. There is no final decision on a permanent new model for the universities, according to Hungarian MEP Eszter Lakos, who is shadow rapporteur for the Horizon Europe specific programme, a separate piece of legislation detailing implementation rules for the EU’s next research programme, due to start in 2028. “The aim of the transition year is to settle this with [the universities], not to impose a model, and not to put them under state control,” she told Science|Business. “The goal is to give academic independence back to universities.”There are three models that are most likely to be implemented. One would be a return to a traditional, state-run model. Another could be a newer, more self-standing public institution. A third option would be a reformed version of the foundation models that meet EU standards. According to Lakos, the dismantling of the system put in place by the Orbán government is well underway and if all goes according to plan, Hungary could regain access to EU research money by the start of the next academic year in 2027. “I believe that the Hungarian government is doing the necessary changes so the universities could return as beneficiaries to Horizon from the next school year,” she said. In the meantime, “the universities, institutes and cultural assets carry on under proper public stewardship rather than a handful of unaccountable trustees,” said Lakos. The laws passed in June impose new safeguards: board terms are capped at four years and renewable only once, appointments are made through open competitions and sitting politicians cannot join joining these boards.It remains unclear whether a domestic science funding programme set up as a back-up scheme by the former government following the EU funding ban, called HU-rizon, could be continued. “This programme should never have had to have been established in the first place, but it has proven to be quite popular,” he said. “I am considering continuing this programme with a refined focus on helping international collaborations.”Re-organising the research network One of the first priorities for Horváth and his cabinet is to resolve questions over the future of the Hungarian Research Network, Hun-Ren. The network of academic institutes was taken away from the Hungarian Academy of Sciences in 2019 and turned into a quasi-private organisation, with similarities in its governance to the public trust foundations.Horváth and his team have consulted over 5,000 representatives from the network and the conclusion is broad unhappiness with the directors of all the institutes involved. “We have presented the results to the president and the chief executive of the network and this is currently being discussed,” Horváth said. The plan is to re-integrate the network back into the Academy of Sciences but in an improved way, “learning from mistakes of the past,” he added. The government also wants to reintegrate four humanities and social science research centres into the network that the previous government had transferred to Eötvös Loránd University. The transfer brought sharp criticism from the academic community, with a group of Hungarian research heads, including European Research Council grant recipients, sending an open letter to Orbán warning that the transfer would “cause historically significant harm to the entirety of Hungarian scientific life.” The transfer was “one of the biggest shames in Hungarian research in the past 20 years,” Horváth said. “We want to immediately re-integrate them back into the research network and to regain the trust of these institutions, because the way they were treated was really unfair.”Another pressing issue is the Élvonal Excellence Research and Talent Development Foundation, led by Nobel laureate Ferenc Krausz. The foundation signed a financing agreement with the former government earlier this year for a budget of over €730 million over the next five years. The goal is to create a world-class centre to attract top talent from abroad and to develop local researchers. But there was little transparency about this foundation, and news of its huge budget, which is nearly as much as Hungary’s entire research budget, caused a stir in the media following the recent elections. Another issue is that, as with the foundation boards of the institutes banned from Horizon Europe, there was little-to-no oversight of decisions led by Krausz. “It was an excellent idea but an unacceptable execution,” Horváth said of the foundation. “The fact that this is out of the Hungarian funding scheme, mostly concentrating on one person who decides on the budget is unacceptable for us.”The government plans to merge the centre with the National Research, Development and Innovation Office, the country’s R&D funding agency, with a reduced budget. Horváth is hopeful that Krausz will still be involved. The new government’s R&D goalsA phrase that crops up regularly during the discussion with Horváth is “democratic process.” The new state secretary is determined to involve Hungary’s research community in shaping future policies. This marks a departure from the previous government’s approach, and several people in Hungary’s research community have commented on the openness of the new government. In terms of concrete goals, Horváth and his team already have plans. He wants to create a new science fund in Hungary, based on the best practices of other European countries. The fund would not be tied to annual government budgets and would provide long-term, stable financing. “If we were to succeed in creating this fund, then I think it would be one of the biggest achievements for me in this period of government,” Horváth said. On the innovation side, he is looking into how best to bring in the private sector. “We want to make sure that we are working with the private sector to support innovation,” Horváth said. One of his big aims is to introduce entrepreneurship teaching into high schools. Hungary already has a reputable national academy offering research and innovation training in the field of natural sciences, and Horváth wants to expand this to all disciplines and across the whole country. “One of the main ways to elevate our innovative businesses is to teach our children to be innovative,” he said. “This will probably need ten years to pay off, but this is what we should do. Our aim is to make Hungary strong in our region, and this is what is needed.” Related articlesHungary’s Horizon Europe performance in numbersCommission unlocks Erasmus+ cash for Hungary, Horizon could be next‘Academic Huxit.’ Hungarian researchers speak out on impact of EU ban A more difficult task will be funding. The new government is aiming to increase research spending to 2% of the GDP by 2030, and then increase it to 3% in line with EU objectives. Currently, spending sits around 1.3%. But according to Horváth, the current budget, inherited from the previous government, is “heavily in the negative,” so any plans to increase research spending will have to start next year. Achieving 2% by 2030 already needs a big push, almost doubling the research budget. “This is something we’d definitely like to reach, and something I can see us achieving,” he said. “From the 2030s, I’d like to see an innovative generation growing up that can help us reach the 3% target.” Positivity in the new governmentDespite the many challenges facing Horváth and his team, the mood is positive. “It feels a bit like a start-up right now. Everyone is working 24/7, day and night, trying to do as much as they can. There is a lot of energy,” he said. It is a big change for the state secretary who, like many in his cabinet, is coming from a background in research or business, and not in politics. “Six weeks ago, I was sitting with my microscope and my research PhDs, so it’s been a big change for me,” said the computer scientist, who was previously the director of the Institute of Biochemistry at the Hun-Ren Biological Research Centre in Hungary and worked at the Institute for AI for Health at Helmholtz Munich. But he is relishing the task to transform the country’s R&D landscape. “We feel enormous support from the Hungarian people, but also from Europe,” he said. “We’ve received a lot of letters of support from around Europe. There is big trust there, and huge responsibility on our side. We want to get everything back on track, and there’s a lot to do.”
Tokyo Game Show 2026 exhibitors list and main visual announced
Computer Entertainment Supplier’s Association has announced the list of exhibitors and main visual for Tokyo Game Show 2026, which will run from September 17 to 21 at Makuhari Messe in Chiba,…
Making the ‘invisible’ visible: How high-speed movies could change the way scientists study disease
An advanced imaging method captures chemical processes in living organisms in real time, allowing researchers to observe biology as it happens.
Opening the future of science
The U.S. NSF LCCF Overview and Characteristic Science Applications virtual panel featured remarks from NSF and TACC leaders, followed by a moderated panel of researchers using TACC's Frontera and Vista supercomputers to tackle some of science's most complex challenges.
Charley McNeilly ’28 Interns With Da Vinci Science Center
The computer science major from from Pocono Pines, PA, is helping the center in downtown Allentown organize data and automate tasks.
IFT: Proposed US federal grant rules threaten nutrition science funding & competitiveness
The US Office of Management and Budget (OMB) recently proposed rules to rewrite the Uniform Guidance — the rulebook for all federal grants. Institute of Food Technologists (IFT) chief science and technology officer tells Nutrition Insight that these rules are set to undermine the nation’s scientific research for food and nutrition and hinder global competitiveness.
Andrew Mortensen Earns Georgia Tech MS in Computer Science
Woodbridge, CT resident Andrew Mortensen graduates from Georgia Tech with a Master of Science in Computer Science during the 270th Commencement exercises. (156 characters)
SpaceX's Next Big Business Isn't Rockets. It's Computer Chips.
The newly public space company is quietly buying its way into the AI hardware race.
Two Stony Brook Computer Science Papers Accepted to Premier Programming Languages Conference
Two research papers from Stony Brook University's Department of Computer Science were accepted to the 2026 ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), one of the leading international conferences in programming languages and programming systems research. The papers were authored by Stony Brook faculty, graduate students, and recent alumni, as well as
Scientists make quantum time flow backward in stunning physics breakthrough
Researchers have created quantum control techniques that can make a system appear to run backward in time. By precisely managing quantum measurements, they can reshape the system's arrow of time and even harvest energy from the measurement process itself. The breakthrough could lead to more powerful quantum computers, quantum batteries, and other advanced technologies.
USC Computer Science Chair Nenad Medvidović Inducted as ACM Fellow - USC Viterbi
Recognized for foundational contributions to software architecture and large-scale systems design, Medvidović reflects on research, mentorship and solving problems that matter.
Hungry bacteria and a new way to scale up data
Yale researchers present novel strategies for creating computer simulations and providing better emergency care, uncover new information about gut bacteria, and moderate a national discussion about science.
Team's prediction task compares GPT-4o with classic machine learning
Large language models have been functionally opaque. Seeking transparency, a team undertook a comparison with traditional machine learning.
Computer science society creates new research integrity role to address case backlog
AndreyPopov/iStock Over the last five years, the Association for Computing Machinery has been dealing with a rapid rise in allegations of research misconduct that have created a backlog of cases to…
Google Gemini Spark Comes to Mac With Local File Automation
Google today launched Gemini Spark for its macOS desktop app, allowing the AI agent to automate tasks involving local files and desktop workflows. Google announced the update today, adding a dedicated Spark tab to the sidebar of the Gemini app for macOS. The feature allows the AI agent to take action on files stored locally on a user's computer rather than just responding to questions in a chat window.
Scientists teach human cells to compute like tiny computers
Researchers have developed a way to program human cells to perform calculations and make autonomous decisions, similar to how computer chips work.
What is a quantum computer good for? Absolutely nothing
The Trump administration wants a useful quantum computer in two years. Microsoft wants one in three. Independent researchers cry hype.
Computer scientists develop a new AI tool that rivals AlphaFold 3 in mapping RNA
The method, called RNAbpFlow, was described in a study published on June 30 in Nature Methods, among the most selective journals in computational life sciences.
Nutanix and the North Carolina School of Science and Mathematics Partner to Expand Computer Science Access Across North Carolina
$250,000 Corporate Grant From Nutanix Establishes Endowed Professorship to Fund Public K-12 Teacher Training and Open-Source STEAM Curriculum NCSSM Nutanix Endowed Professorship Charles Robinson, Nutanix Endowed Professor of Computer Science at the North Carolina School of Science and Mathematics SAN JOSE, Calif., and DURHAM, N.C., June 30, 2026 (GLOBE NEWSWIRE) -- Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, and the North Carolina School of Science and Mathematics (NCSSM), t
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Spend Five Minutes With This Hellish Operating System Simulator and You'll Never Swear at Your Computer Again
Seriously, I'm sorry I had a gazillion browser tabs open alongside several hours' worth of unsaved work. Please don't crash. Please.
My Boyfriend Said His Family Friend Is Like a “Sister” to Him. Uh, That’s Not What His Computer History Says.
He violated everyone's trust with this.
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It's Xbox's turn (again), as console prices keep going up
Microsoft announced a price hike for the Xbox Series consoles today, the third in little over a year. Effective August 1, the Xbox Series S, which launched in 2020 for $300, will cost $500 in the U.S. The Xbox Series X, which launched in 2020 at $500, will go for $800. This follows a round of PlayStation 5 price increases from Sony this spring, and a slow-motion increase for Nintendo’s Switch 2, which will kick in in the U.S. in September. (Mind you, there were also eight video game industry price hikes in six months of 2025). The chart up top shows the sudden ascent of console prices over the past year, a sudden surge in an already unusual hardware generation. Prices had been flat for years, now “up” is the new “flat.” Game console prices used to go down across the length of a console generation, but not this time around. Microsoft’s explanation for the new price hike today: We hoped another price increase would not be necessary, and we have spent the last several months working with suppliers on options. Unfortunately, console storage and memory prices have increased by more than 2.5x and we expect another doubling by the fall of 2027. The entire consumer electronics industry is struggling with the current components crisis, but the effects are particularly hard on consoles. Unlike phones, computers, speakers, and other consumer devices, consoles are typically not sold at a profit, but instead for less than they cost to make. This is an issue well beyond game consoles. Apple announced price hikes on its computers and tablets today as well. Game File is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe Item 2: Brutal Bungie cuts Bungie laid off “most” of its Destiny development team and some developers who worked on Marathon, the newest game from the struggling Sony-owned studio. A WARN notice issued by Sony to Washington State, where Bungie is based, tallied cuts impacting 292 workers, effective next month. That’s strictly for Bungie/Sony jobs in Washington and wouldn’t account for any elsewhere. The video I clipped below shows the redacted list of Bungie cuts filed to Washington State officials. As you’ll see, I had to scroll for a while… In a note emailed to PlayStation workers and published online, PlayStation game studios chief Hermen Hulst offered the following explanation for these latest cuts at Bungie: This is painful news, especially for talented colleagues whose roles have been eliminated. This decision was made only after extensive discussion and careful consideration, and I want to provide some context on how we arrived here. Over the past several months, together with Bungie leadership, we reviewed the studio’s long-term direction, development priorities, resource needs, and role within our broader portfolio strategy. We explored multiple alternatives before concluding that a reduction was necessary to align the studio’s resources with its current priorities and long-term goals. In 2022, Sony bought Bungie for $3.7 billion. The studio’s marquee game, the multiplayer live service shooter Destiny 2 was losing popularity at the time. Its next game Marathon, released earlier this year, has been well-reviewed but had a slow start. Bungie is renowned for making great shooter games, and Destiny fans have mourned the wind-down of Destiny 2. They’ve also expressed bewilderment over reports that Destiny 3 is not, per Bloomberg, immediately in the cards.
Scientists measure hidden quantum forces that could power a new generation of pharmaceutical drugs
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Rogers Computer Science Teacher Named Tops in the State
Instructor and coach, Anthony Hanos with members of the cyber security program, students Brandon Wilson, Kerian Santiago and Alex Bettencourt. The sister sectors of computer science, information technology and cybersecurity, continue to be among the fastest growing industries in the country, according to the U.S. Bureau of Labor Statistics. Luckily, Newport area high schoolers interested
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US economy grew at 2.1% in first quarter
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How should European scientists respond to the US AI kill switch?
Earlier in June, Europe’s worst fears of technological dependence were confirmed when the White House ordered the AI firm Anthropic to stop non-US citizens using its leading models. This kill-switch moment crystalised anxieties in Brussels that the continent, lagging the US on the creation of leading-edge AI models, is now a technological of vassal of Washington. The shock has specific implications for European scientists and universities. Some governments are now worried that with AI being integrated into labs, Donald Trump now has his finger hovering over an off switch for European science. “Having restrictions on this tool, it can have an impact on our own research,” said France’s research minister, Philippe Baptiste, at the VivaTech conference in Paris on June 18.Baptiste, himself a former academic, said that colleagues in mathematics had recently warned him they were now cut off from leading-edge US models, risking their work. “This model is not available anymore now because of the US restriction, and for the first time this had an impact on mathematics,” a field where large language models (LLMs) are making a significant contribution, said Baptiste. So, should European scientists avoid relying on US models in the future? Or would this be a self-harming overreaction? And how is AI being used in science, anyway? What happened?On June 12, it emerged that Washington, citing cybersecurity concerns, had ordered Anthropic to stop non-US citizens using two models: Claude Mythos 5, and Claude Fable 5, a version of Mythos but with guardrails to prevent abuse. Anthropic said Washington’s concerns were overblown. But forced to follow the order, yet with no way to check who was using the models, the company suddenly shut down access for everyone, US citizens included. There’s still no agreement on how to restore broad access. But last week, Bloomberg reported that select US companies, and the US government, still had access to Mythos despite the ban, but the EU’s cybersecurity agency Enisa had been shut out. Class division of researchersIn the longer term, access outside the US should be restored, said Marcel Salathé, co-director of the AI centre at the Federal Polytechnic School of Lausanne (EPFL), because a permanent restriction would be financially ruinous to US AI firms. “Even Trump will eventually budge to economic pressure,” he said.However, US AI firms might end up operating rather like banks, doing due diligence on users of their leading-edge AI models, he went on.European scientists are unlikely to fall foul of such checks, he said. But having a Chinese postgraduate in their lab, or doing a type of research the US disapproved of, could potentially result in access being denied. “It will create a sort of class division of researchers,” he said. More than frontier modelsHowever, successfully deploying AI in science is about far more than just having access to leading LLMs such as Mythos.Instead, many science-specific tools, most famously Alphafold, which predicts protein folding structures, require “far less” computing power to train than frontier models, well within the capabilities of European supercomputers, according to a recent analysis by the Arq Foundation, a Brussel-based AI think tank. Instead, tools such as Alphafold are possible because certain fields, like protein folding, weather prediction or astronomy, have large, clean, standardised datasets that can be used to train predictive models. Rather than compute, “data is the central constraint for AI for science,” the report says. For example, a less powerful physics model trained on CERN’s data “will be more valuable than the best model without certain data,” said Bengüsu Özcan, author of the report. European advantage?Europe could therefore steal a march by using its scientific data and infrastructure to create models US digital giants cannot. “They might actually match or go even beyond what these big [US] companies are doing,” said Özcan.Indeed, some European start-ups hope to create automated testing labs to create the kind of standardised data that could speed up the discovery of new materials. Materials scientists say there’s currently too little data to train models. AI scientistsHowever, even if the bottleneck for AI in science is often data, rather than compute, being at the mercy of the US for LLM access could still become a problem for European scientists. A new class of “AI scientists” based on leading LLMs is also emerging, Özcan’s report says.Unlike domain-specific tools like Alphafold, these try to automate day-to-day scientific work, by providing an overarching tool that coordinates specific models to synthesise existing literature, generate hypotheses or run analysis of data. The problem for Europe, however, is that these tools are sometimes based on US leading models. Google Deepmind’s AI Co-Scientist, for example, is built on Google’s Gemini LLM. Systematic failureThese scientific automation tools are still in their early stages, and still exhibit “systematic failures on scientific tasks,” Özcan’s report says. One of the problems is that the messy, day-to-day process of scientific discovery is largely not documented, meaning LLMs don’t have a good source of data to learn how scientists actually work. Meanwhile, some tasks, such as literature synthesis, don’t typically require access to leading edge models.However, the performance of AI scientific assistants could improve as companies such as Google pour resources into developing them. Rely on US“Unfortunately, for scientific assistants, there is not much we can do right now except rely on US frontier AI,” said Antoine Bosselut, a natural language processing expert based at EPFL. Chinese-built open models, which can run on local computers, lessening the risk of a shutdown, are touted as one alternative to US dependence. There’s also Mistral, once seen as Europe’s main AI hope, but the Paris-based company has seen its recent models fall behind in performance. But the Chinese alternatives are generally not as capable as US frontier AI models, said Bosselut, unless paired with fiddly, custom tools that allows them to act as independent agents. “Most scientists do not have the time,” he said. Don’t jump ship yetAlthough the kill switch moment is seen a warning shot for European scientists, it doesn’t mean labs should abandon US AI tools immediately. “I do not think the right response is simply to abandon US-based models and systems under the banner of sovereignty or independence,” said Mattias Björnmalm, secretary general of the Cesaer university association. “That would be an overreaction.”Related articlesEuropean sovereignty in AI requires ‘ugly trade-offs,’ say experts Robotic lab start-up makes case for €500M EU-funded materials testing facilityAI in science: is it useful? Instead, European researchers need to ask themselves whether they’re becoming dependent on technology that could be turned off in Washington, said Özcan. “They might not see this today, but they should really start asking this question,” she said. European researchers need a plan B, said Salathé. “I would recommend to every researcher, very proactively explore alternatives.”Own toolsIn addition, Björnmalm and others want European research institutions to develop their own scientific AI tools.Instead of signing AI deals with US digital giants, European universities should be using this money to create their own models, which may end up being superior for research, said Sabine Leonelli, an expert on the use of AI in science at the Technical University of Munich. “Universities in Europe seem to be happy to sign commercial contracts with US companies on the assumption [their AI tools] are better,” she said. But US frontier LLMs are typically opaque, and have been developed without independent scientific input, she said. “This is not good enough for science.”Last year, Swiss researchers released Apertus, an LLM designed to be completely transparent, from its development methods to its training data. The idea is that this makes scientific tools built on top of the model far more reproducible than with closed, commercial alternatives.“Europe needs more of this: serious capacity-building that gives researchers, universities and companies credible options,” said Björnmalm.
‘Incuhub’ for small businesses opens location in Newport News
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Portal messages in Epic have more than doubled since 2020
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Computer science graduate Anthony Burrows set to begin pursuing second bachelor’s in engineering this fall
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At ISC, JUPITER Shows What Exascale Science Looks Like
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Goldman data and a weak entry-level market push students out of AI-exposed college majors toward safer fields.
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This simple twist could bring quantum computers closer to reality
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A brain-computer interface has, for the first time, restored fluent everyday speech to a person who had lost it — a man with ALS who had not spoken aloud in years until a small implant from the BrainGate clinical trial began translating his attempts to speak directly into computer-synthesised words, in a result researchers reported in June 2026
Casey Harrell can now talk for twelve hours at a stretch. Two years ago, he could not talk at all. The ALS he was diagnosed with several years earlier had progressively destroyed the motor neurons controlling the muscles of his face and throat, leaving him with the symptoms doctors call dysarthria and, eventually, anarthria — […]
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Princeton Engineering - Senior thesis combined passions for computer science and linguistics
Nora Graves has always looked at language as a fascinating puzzle to piece together. Growing up in Wayne, Pennsylvania, she developed a passion for
Discovery Supercomputer’s First Applications Selected for Day-One Science
Scientific computing experts at the Department of Energy’s Oak Ridge National Laboratory (ORNL) have selected the first nine research projects that will run on Discovery, the nation’s next flagship supercomputer, slated for deployment in 2028.The projects will be developed through the Discovery Center for Accelerated Application Readiness (CAAR) program at ORNL’s Oak Ridge Leadership Computing Facility (OLCF).
ALS Patient, 47, Gains Ability to Speak and Sustain Full-Time Job Using Experimental Brain-Computer Interface
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AI and brain-computer interface allow speechless ALS patient to work a full-time job
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What is looksmaxxing?
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Oxford physicists just made Schrödinger’s cat even stranger
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Computer science students develop AI platform for use in nursing courses
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Supercomputer illuminates subatomic particle that helps hold matter together
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UC Berkeley computer science students fail in large numbers, professors cite AI dependence
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FDA clears new computer-assisted device for removing clots in stroke patients
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NMSU computer science undergraduate research experience points students toward Ph.D.
New Mexico State University computer science students were among 120 attending the inaugural in-person workshop and research showcase for the Computing Research Association (CRA) Undergraduate...
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Time for an AI checkup: Flaw found in machine learning for sepsis treatment
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Blackblaze's legacy computer business is durable, but it's not growing, says Jim Cramer
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New Data Center, Student Collaboration Space Put People at the Heart of Computer Science
The Computer Science and Engineering Department unveiled a new on-site data center that will accelerate computing and artificial intelligence research advances, while giving graduate students and other computer science researchers hands-on access to cutting-edge computing infrastructure.
Framework Laptop 13 Pro To Begin Shipping In July
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In a first, scientists translated an entire viral genome so a quantum computer could read and analyze it
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Amazon partnership establishes Cornell AI security initiative
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