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Why better AI doesn't always mean better outcomes
Users who adapt their prompting strategies can capture dramatically more value when generative AI tools improve, especially on tasks that require precision and control.
Scientists design 2D materials with atomic precision for future devices, next-gen technologies
DOE scientists have created dozens of new MXene-related materials that can be controlled to design materials for future technologies.
Opinion: Amherst’s Politics of Endless Outrage
By Rizwana Khan The first meeting of the new four-part series, Community Wellness and Resiliency Conversations, felt like a group project in which everyone had done the reading and mastered the vocabulary — systemic oppression, community accountability, and the rest — with graduate seminar precision. The challenge was figuring out what to do with it all.
AI Chatbots Do Not Consistently Deliver Accurate Health Responses
While AI chatbots delivered useful information, the error rates remain high enough that they should not replace physicians.
Leo International Precision Health AG builds a Synchronised, End-to-End Precision Healthcare Engine Across the Entire Patient Journey
LIPH AG introduces a synchronised “Precision Health Engine” designed to transform healthcare from reactive treatment into predictive, personalised and continuous care. Planegg / Martinsried, Germany, May 26, 2026 – Leo International Precision Health AG (“LIPH AG” or the “Company”, ticker symbol: LEOW), a holding company building a global AI-driven healthcare ecosystem and listed on the Frankfurt Stock Exchange, continues to expand its precision health platform integrating Healthcare Services, Me
Precision Medicine’s Next Hurdle Isn’t Science
A new UPMC report found that while most health systems now offer precision medicine programs, many still face challenges scaling them due to reimbursement, data integration and patient engagement issues. Health system leaders say the field’s future depends on embedding genomics into routine care, as well as proving its clinical and financial value.
resbiotic® Launches Gut Health Test In Partnership with Tiny Health: An Advanced At-Home Microbiome Test That Maps What's Really Driving Your Health
resbiotic® (res), a leading physician-developed microbiome health company, today announced the launch of the at-home resbiotic Gut Health Test in partnership with Tiny Health, a precision microbiome platform that delivers a comprehensive picture of gut health — and a clear, personalized plan for improving it.
World Health Assembly endorses resolution on precision medicine
At the Seventy-ninth World Health Assembly, Member States endorsed a new resolution on Precision medicine: a path towards targeted, personalized and equitable care, taking an important step towards advancing precision medicine as part of efforts to strengthen equitable, effective and sustainable health systems. Precision medicine refers to the use of clinical, molecular, genomic and other health data to inform prevention, diagnosis and treatment, taking into account variability while applying appropriate ethical and legal safeguards. When integrated responsibly into health systems, precision approaches can improve outcomes across different disease areas and across the life course – from cancer and rare diseases to infectious diseases, maternal, newborn and child health, mental health and noncommunicable diseases. The resolution reflects rapid advances in genomics, diagnostics, data science and digital health, alongside widening global inequities in access to these innovations. Many populations – particularly in low- and middle-income countries – remain underrepresented in data and research, limiting the public health impact of precision medicine and risking the widening of health disparities if action is not taken now. "Precision medicine is not an aspirational idea for health delivery in the future – it is already transforming lives across the world. But its benefits remain out of reach for too many and the research driving progress is concentrated in high income countries. This WHA resolution gives global health leaders, ministries of health, and WHO a clear mandate: to act. From infant screening to setting up genomic databases WHO will work with countries to bring about the power of these innovations." Dr Meg Doherty, Director Science for HealthThrough the resolution, Member States commit to developing and strengthening national policies, infrastructure, workforce capacity and governance frameworks to support the safe, ethical and equitable integration of precision medicine into health systems, aligned with universal health coverage. This includes promoting affordability, ensuring inclusive research and data systems, strengthening regulation and data governance, and fostering collaboration across sectors and regions.WHO is requested to provide technical and normative support, review and coordinate existing guidance, facilitate global and regional collaboration, and develop a Global Strategy on Precision Medicine to guide equitable and context‑appropriate implementation. WHO stands ready to support Member States through tools such as a country maturity model for countries to self-assess capacity in implementing precision medicine depending on their context. In the immediate term WHO will map all existing guidance and frameworks and host extensive consultations with interest holders globally.By placing equity, inclusion and public value at the centre of precision medicine, the resolution reinforces WHO’s commitment to ensuring that scientific advances benefit all people, everywhere, and that no one is left behind in the next era of health innovation."By uniting people-centered healthcare with innovation, precision medicine has the potential to transform lives. This resolution helps ensure those advances serve the shared goal of health for all." Dr Sylvie Briand, Chief Scientist For further information please visit the Health Topic: Genomics
Padres’ Rodolfo Durán picks off Shohei Ohtani with pinpoint precision
The Padres needed a huge defensive stop with Shohei Ohtani on base, and Rodolfo Duran stepped up big here versus the Dodgers.
New MatterChat Model Helps AI to ‘See’ the Language of Science
From writing emails to generating computer code, much of the artificial intelligence prevalent in our daily lives has succeeded by mastering one domain: text. However, this leaves a major blind spot in the physical sciences, where models depend on the high-resolution, three-dimensional data of the physical world, like the intricate lattice of atoms in a crystal. Delivering on the promise of using AI for science requires teaching these data-driven text models to seamlessly “talk to” physics-based models. Now, a new AI framework from Lawrence Berkeley National Laboratory (Berkeley Lab), called MatterChat, solves this problem by creating a specialized “bridge.” It connects the conversational power of a Large Language Model (LLM) with a physics-based AI that models “interatomic potentials”: the complex physical forces between atoms. The resulting system already significantly outperforms general-purpose AI tools like GPT-4 at predicting material properties, and the team hopes it can accelerate scientific discovery by serving as a robust research partner that provides grounded insights and generates step-by-step instructions for synthesizing novel materials. A paper describing this work was recently published in Nature Machine Intelligence. “Traditional simulations can provide the physical rigor required for materials science, yet their computational cost remains prohibitive for high-throughput screening. Conversely, while LLMs excel at rapid knowledge synthesis, they inherently lack the ‘structural vision’ to interpret materials directly from their underlying atomic coordinates,” said Yingheng Tang, a postdoctoral researcher in Berkeley Lab’s Applied Math and Computational Research Division (AMCR) and lead author on the paper. “MatterChat was built to solve this dilemma, empowering LLMs with a structural ‘vision’ that allows researchers to leverage their full potential for solving complex, real-world materials challenges.” Empowering language models to solve complex challenges in materials science To build MatterChat, the Berkeley Lab team drew inspiration from technologies like Vision Question Answering (VQA) and Text-to-Image (T2I) generation. In these tasks, AI must translate high-level text concepts into visual images, or vice versa. Doing so requires developers to build tools that “bridge” two fundamentally different forms of data. The researchers adapted this concept to the physical sciences. With MatterChat, they created a “bridge model” that successfully connects an LLM’s general knowledge with the deep understanding of the atomic-scale world encoded in scientific interatomic potentials. Until now, researchers using LLMs to solve materials problems usually had to feed them raw data files as if they were just strings of text. It’s like asking an AI to understand a complex 3D engine based only on a parts list: the LLM can read the names, but it can’t “see” how the atoms fit together in space. MatterChat solves this by training a specialized AI bridge model, pre-trained on millions of crystal structures and an LLM, to align the LLM’s representation of the world with the interatomic potential’s representation of the world. The bridge model can translate physical insights into a format the LLM can actually understand. By giving the LLM these “scientific eyes”— a scientific “inductive bias” in the terminology of AI — the Berkeley Lab team has transformed it into a robust research tool capable of providing grounded scientific insights into complex materials challenges, such as predicting thermal stability or analyzing electronic band gaps. “We think of atoms as living in a physical space, but from a machine learning perspective, they are just vectors living in some very non-trivially structured manifold in a high-dimensional Euclidean space; and, of course, the same is true for the sentences and paragraphs that we use to express our ideas about those atoms,” said co-author Michael Mahoney, Berkeley Lab’s Scientific Data Division (SDD) AI Initiative Research Lead. “The bridge model basically gets those two structures to ‘talk with’ each other.” As a proof-of-concept of this general approach, the team trained their bridge model on a dataset curated by pairing nearly 143,000 stable atomic structures from the Materials Project with their corresponding physical properties. This training data was automatically assembled using the Materials Project’s API and deliberately enriched with properties fundamental to microelectronics design — like formation energy and bandgap — allowing MatterChat to learn the complex patterns connecting a material’s atomic blueprint to its functional performance. To validate their model, the researchers benchmarked MatterChat against a suite of other AI systems, from general-purpose LLMs to other specialized scientific AI methods. The results show that MatterChat consistently outperformed its competitors across a range of tasks. The model was more accurate in classifying material types and demonstrated superior precision in predicting numerical properties. For example, it excelled at predicting a material’s bandgap, a property critical for designing new electronics from high-capacity energy storage to next-generation computer chips. “Our design is significantly more efficient because we don’t have to build a massive AI model from the ground up,” said co-author Zhi (Jackie) Yao, a research scientist in Berkeley Lab’s AMCR. “Instead, we take two powerful, pre-trained models — a structural encoder for materials physics and an open-source LLM — and use them off-the-shelf. The only component we actually train is the lightweight ‘bridge model’ that translates between them. It’s the difference between building an entire car factory and simply designing a smart adapter that connects a world-class engine to a world-class navigation system. This approach is not only computationally efficient, but also makes the system modular, so we can easily upgrade components or adapt the bridge for other scientific domains in the future.” Crucially, this modular design highlights exactly how institutions like Berkeley Lab and the Department of Energy are carving out a highly valuable niche in the booming AI landscape. Rather than competing with Silicon Valley tech giants to build ever-larger language models from scratch, the lab is focusing on the specialized connective tissue that makes commercial AI useful for hardcore science. Because the bridge model approach underlying MatterChat is forward-compatible, it is perfectly positioned to leverage these parallel tracks of innovation. As Mahoney pointed out, “We expect that industry will continue to develop improved LLMs, and we expect domain scientists and facilities will continue to generate new data. An important part of scientific machine learning is not simply to solve problems on today’s data, but instead to develop general methods that will be forward-compatible with orders of magnitude more data, whether from scientific domains or from LLMs.” According to Yao, the MatterChat project, which was initially developed and enhanced with funding from a Berkeley Lab Laboratory Directed Research & Development (LDRD) Program, will now expand its capabilities. In a collaboration with Fermilab, MatterChat is already contributing to a U.S. Department of Energy Genesis Mission project — called Accelerating eXtreme Environment Specs-to-Silicon (AXESS) — that aims to speed up the development of next-generation, high-speed, radiation-hardened detectors for challenging particle physics experiments by using advanced 3D integrated circuits (chiplets) and AI-driven data analysis. In addition to the LDRD support, the team also credits supercomputing resources at the National Energy Research Scientific Computing Center (NERSC), located at Berkeley Lab, with MatterChat’s success. “We are incredibly grateful to NERSC; this research simply would not have happened without access to the Perlmutter supercomputer through their AI for Science program,” said Tang. Wenbin Xu, a NERSC postdoctoral fellow at the time, was also a major co-author of the work, as was Benjamin Erichson, a research scientist in Berkeley Lab’s SDD, highlighting the benefits of AMCR-SDD collaboration on AI for science. ### 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.
Reimagining mental health: Stanford Medicine experts chosen to lead precision task force
Stanford Medicine’s Leanne Williams was chosen to lead the Precision Mental Health Commission to redefine and streamline how psychiatric conditions are diagnosed and treated. She’s pushing for a data-driven approach that begins with brain imaging.
A grad student’s wild idea sparks a major aging breakthrough
A casual conversation between graduate students helped spark a breakthrough in aging research at Mayo Clinic. Researchers discovered that tiny synthetic DNA molecules called aptamers can selectively attach to senescent “zombie cells,” which are linked to aging, cancer, and neurodegenerative disease. The method could eventually help scientists identify and target these cells in living tissue with far greater precision.
Scientists Just Measured an Energy Pulse Smaller Than a Trillionth of a Billionth of a Joule
A newly developed quantum sensor has measured unimaginably small amounts of energy with record-breaking precision.
Precigen Reports First Quarter 2026 Financial Results and Business Updates
Precigen, Inc. (Nasdaq: PGEN), a commercial-stage biopharmaceutical company specializing in the advancement of innovative precision medicines to improve the lives of patients, today announced first quarter 2026 financial results and business updates.
Alto Neuroscience Reports First Quarter 2026 Financial Results and Recent Business Highlights
MOUNTAIN VIEW, Calif., May 13, 2026--Alto Neuroscience, Inc. ("Alto") (NYSE: ANRO), a clinical-stage biopharmaceutical company focused on the development of novel precision medicines for neuropsychiatric disorders, today reported financial results for the quarter ended March 31, 2026, and highlighted recent progress across its pipeline of clinical-stage product candidates.
U.S. Embassy Supports Tunisian Business Delegation at 2026 SelectUSA Investment Summit - U.S. Embassy in Tunisia
U.S. EMBASSY SUPPORTS TUNISIAN BUSINESS DELEGATION AT 2026 SELECTUSA INVESTMENT SUMMIT The SelectUSA Investment Summit is the premier U.S. investment event, connecting thousands of investors, companies, economic development organizations, and industry experts to make deals happen. Media Note TUNIS, May 5, 2026 – U.S. Embassy Tunis is pleased to support a delegation of 11 Tunisian companies traveling to the United States to participate in the 2026 SelectUSA Investment Summit at National Harbor, Maryland, May 3-6, 2026. The Summit is an opportunity for these dynamic entrepreneurs to establish new connections and explore business and investment opportunities in the United States. This year, three Tunisian women entrepreneurs and members of the delegation representing Spiraw and Sotetel were accepted into the Select Global Women in Tech year-long mentoring program which will kick off at the summit. Since 2022, more than 50 Tunisian entrepreneurs in fields ranging from e-gaming, robotics, software engineering, coding, online fashion, and green tech have participated in SelectUSA Investment Summits, where they have taken their businesses to the next level. Hosted by the U.S. Department of Commerce, the SelectUSA Investment Summit is a one-stop shop for companies considering expanding to the United States and provides economic development organizations (EDOs) with the opportunity to meet directly with international companies to facilitate investment deals. Since inception, the SelectUSA Investment Summit has attracted tens of thousands of companies and economic development representatives, generating over $250 billion in new investment projects that support more than 125,000 jobs across the United States and its territories. The previous SelectUSA Investment Summit saw record-breaking numbers with more than 5,500 participants, including EDOs from 54 U.S. states and territories and over 2,700 business investors from 100+ countries, including Tunisia. The following Tunisian businesses will take part in this year’s SelectUSA delegation: AquaDeep – Revolutionizes aquaculture with AI-powered monitoring solutions, including a real-time larva counting system and a SaaS platform for environmental monitoring. The company is expanding operations across Tunisia, Europe, Africa, and the United States. Bouraoui Group – Specializes in event venues, hospitality experiences, innovative real estate development, and technology driven customer solutions. The business develops experience- focused and tech enabled lifestyle destinations that combine entertainment, culture, retail, and smart services, and is seeking international partners to co-develop hospitality, PropTech, smart retail, and experiential digital projects. Digital Cook – Builds HR and recruitment software solutions, including HRMS, ATS, and custom tools that streamline hiring, employee management, and talent development. It provides custom software, system integration, and scalable HR platforms for SMEs, large enterprises, and recruitment agencies seeking efficient, user-friendly ways to manage their workforce and improve recruitment. El Kanaouet – Provides high-quality and low-cost hydraulic infrastructure for the supply and distribution of drinking water. The company manufactures prestressed concrete structures based on current technological developments in the field and trends in integrated and digitalized management. El Kanaouet aims to enter the U.S. market with its production of centrifugal prestressed concrete pipes and other technical products and services. Fluoink Nanotechnologies – A deep‑tech startup developing next‑generation antimicrobial additives for paints, coatings, and industrial materials, enabling everyday surfaces to act as long‑lasting barriers against harmful bacteria and pathogens without changing their appearance or performance. Mare Custos – A subsea robotics company specializing in ROV-based underwater inspection services for offshore energy, ports, and marine infrastructure, using high-precision imaging, PAUT, and NDT to inspect structures in challenging conditions. SmartMed SA – A fast-growing digital health company operating in Tunisia, Algeria, and Morocco, offering an integrated ecosystem that helps patients book appointments (MedPro), enables clinics to digitize workflows and EMRs (MedLink), and supports targeted digital marketing for healthcare and pharma (MedAds). With millions of appointments and users, SmartMed has become a leading e-health platform in North Africa. Sototel – Builds telecommunications networks and services, including fixed, radio, and mobile networks. Sototel focuses on technological innovation and continuous improvement, providing high-value-added digital solutions. SOTUPRIN HGE – Specializes in manufacturing household electrical appliances under the brand HGE and OEM. Expanded from the local market to North Africa, Central Africa, the Middle East, and Europe. Spiraw by Food4Future – Designs and manufactures smart, AI-powered cultivation systems allowing individuals and businesses to grow fresh, highly nutritious food – starting with spirulina – directly at the point of consumption. Combining patented hardware, controlled-environment agriculture, and a connected app with an AI assistant, Spiraw aims to decentralize food production and create a new category at the intersection of agri-tech, consumer health, and smart home ecosystems. WaterSec (Istidama) – A climate-tech startup that uses IoT, AI, and smart sensors to help high consumption facilities (such as industries, hotels, and commercial buildings) monitor water use in real time, detect leaks, and optimize consumption. The company’s digital platform turns raw water data into alerts and actionable insights, making water management more transparent, proactive, and sustainable. Learn more about the SelectUSA Investment Summit at https://www.selectusasummit.us/. Follow live developments from the summit on X at https://x.com/SelectUSA.
Hon Hai Sales Grow 30% With Expansion of AI Server Business
Key Nvidia Corp. partner Hon Hai Precision Industry Co. reported a 29.7% increase in April revenue, underscoring persistently strong spending on hardware essential for AI.
LAGEOS: An Earth Science Mission Built for Enduring Precision
On May 4, 1976, a spacecraft resembling a disco ball entered orbit almost 3,700 miles (6,000 kilometers) above Earth. This shiny, two‑foot‑wide
First-ever 3D view shows how killer T cells destroy cancer
The body’s “killer” T cells don’t just attack—they strike with astonishing precision, forming a tiny, highly organized contact zone that lets them destroy dangerous cells without harming their neighbors. Now, scientists have captured this process in unprecedented detail, revealing a hidden world of molecular choreography.
UC San Diego Health Performs First West Coast AI Robotic Spine Surgery
First West Coast AI-driven robotic spine surgery performed at UC San Diego Health, improving precision and recovery for patients.
Graphene kills harmful bacteria “superbugs” but spares human cells
Scientists have uncovered how graphene oxide pulls off a remarkable trick: it hunts down and destroys harmful bacteria while leaving human cells completely unharmed. By targeting a molecule found only in bacterial membranes, this ultra-thin carbon-based material acts with laser-like precision—offering a powerful new alternative to traditional antibiotics. Even more exciting, it works against drug-resistant “superbugs,” promotes faster wound healing, and keeps its antibacterial strength even after repeated washing.
How Geospatial Science is Reshaping Cancer Epidemiology: Three Perspectives from the Front Lines
The transformational use of geospatial technologies can identify disease risk and outcomes and, more critically, help mitigate cancer mortality.
How can scientists visualize cellular life with greater precision? - Salk Institute for Biological Studies
Highlights Salk researchers collaborated with scientists at Albert Einstein College of Medicine to develop a new class of probes for imaging living cells The probes, called visible-spectrum antigen-stabilizable fluorescent nanobodies (VIS-Fbs), generate high-contrast images with minimal disruption to normal cellular activity The technology enables more precise investigation of complex biological processes, including cell signaling, development, and disease progression LA JOLLA—Fluorescent proteins have revolutionized science, enabling researchers to tag and visualize individual molecules in living cells, tissues, and animals. Using these tools, researchers have watched viruses infect cells in real time, observed cellular trash collection, and tracked the signaling that spurs tumor growth.
Mechanohealth: Where life science meets physical forces for health innovation
Integrating mechanobiological principles into disease pathogenesis, therapeutic development, and tissue engineering is reshaping our understanding of biological systems and accelerating the advancement of mechanotherapy and mechanohealth. This field reveals how mechanical cues regulate cellular behavior, such as force transmission along integrin-nucleus pathways and collective cell migration, and tissue functions. In doing so, mechanobiology connects fundamental research with clinical applications, from limiting cancer metastasis and fibrosis to promoting bone regeneration and maintaining vascular homeostasis. Building on discussion from the Inaugural International Conference on Mechanobiology (ICM) 2025, integrating mechanobiological research with clinical strategies offers new opportunities to address unmet needs, including personalized anti-fibrotic interventions or precision bone regenerative therapies. At the same time, it supports the broader concept of mechanohealth -- a paradigm focused on preserving the physiological mechanical balance within tissues.
First-ever SPHEREx images spark hope to finally unlock the Universe’s origin mysteries - Futura-Sciences
SPHEREx Takes Off: A Mission Begins On March 11, a Falcon 9 rocket launched from California’s Vandenberg Space Force Base, carrying a particularly precious piece of NASA’s scientific arsenal: the SPHEREx space telescope. Its mission? To map the cosmos with its high-precision instruments and spectacular image quality. No pressure, right?...
Artificial intelligence is reshaping environmental science into a predictive and precision-driven discipline
Artificial intelligence is rapidly transforming how scientists study and protect the environment, shifting the field from traditional observation toward predictive, data-driven discovery. A new perspective article highlights how emerging AI technologies are enabling a fundamental change in environmental research, opening the door to faster, smarter, and more integrated solutions to global challenges.
Mount Sinai Health System and SOPHiA GENETICS Announce Collaboration to Advance Precision Cancer Care from AACR 2026
/PRNewswire/ -- SOPHiA GENETICS (NASDAQ: SOPH), a global leader in AI-driven precision medicine, today announced that the Mount Sinai Health System, one of the...
UConn Health Offers New Level of Precision in Cancer Care
High-tech radiation therapy machine enhances accuracy, safety
Health Issues Linked to Obesity Differ Between Men and Women
Women and men with obesity have different health issues, which should be taken into account when suggesting treatments or interventions.
Scientists map the brain’s hidden wiring using RNA barcodes in major breakthrough
Researchers have developed a cutting-edge technique that uses RNA “barcodes” to map how neurons connect, capturing thousands of links with single-synapse precision. The method transforms brain mapping into a sequencing task, making it faster and more scalable than traditional approaches. In mice, it revealed surprising new connections between brain cells that were previously unknown. This could open the door to earlier detection and targeted treatment of neurological diseases.
Guardant Health (GH) Valuation Check After Strong 1 Year Return And Recent 90 Day Pullback
Guardant Health (GH) has drawn fresh attention as investors look at its recent share performance alongside its growing precision oncology business, including liquid biopsy tests and data services for cancer detection and treatment decisions. See our latest analysis for Guardant Health. At a latest share price of US$93.83, Guardant Health has seen a sharp 10.9% 7 day share price return and a 1 year total shareholder return above 100%. However, the 90 day share price return of a 7.77% decline...
This new “phonon laser” could measure gravity more precisely than ever before
Scientists have taken lasers beyond light and into the realm of sound, creating a breakthrough “phonon laser” that manipulates tiny vibrations at the quantum level. By dramatically reducing noise in these systems, researchers can now measure motion and forces with unprecedented precision. This advance could unlock new ways to study gravity, probe quantum physics, and even revolutionize navigation with ultra-accurate, satellite-free systems.
A New U.S. Missile Hit a Sports Hall in Iran. Here’s What We Know About It.
Barely out of prototype testing, the Precision Strike Missile is shrouded in secrecy — including which Persian Gulf countries the Army is launching them from.
Ruby Ridge Book Explores Roots of American Conspiracy Politics at Vroman’s Tonight
Author Chris Jennings will discuss his critically acclaimed book “End of Days: Ruby Ridge, the Apocalypse, and the Unmaking of America” at Vroman’s Bookstore on Monday, March 30, in a 7 p.m. conversation with journalist and author Jim Newton, a Pasadena resident. The book, published in February by Little, Brown and Company, examines the 1992 Ruby Ridge standoff — in which federal agents surveilled a cabin in Boundary County, Idaho, as part of an operation to arrest white separatist Randy Weaver — and traces a line from that 11-day siege to the conspiratorial politics that now mark American public life. By the time Weaver surrendered, his wife, his son, and a U.S. Marshal were dead. Jennings, a former editorial staffer at The New Yorker and the author of “Paradise Now: The Story of American Utopianism,” argues that the strain of apocalyptic Christianity that gripped the Weaver family can be traced to biblical prophecy readings dating to the 1870s and through the rise of 20th-century fundamentalism, according to the publisher’s description. The events at Ruby Ridge, Jennings contends, acted as an accelerant for this worldview. The New York Times Book Review called the book a thoroughly researched chronicle written with precision, according to a review published in February. Kirkus Reviews described it as a vivid reconstruction of a pivotal moment in the history of right-wing extremism. Newton, who will lead the conversation, spent 25 years at the Los Angeles Times as a reporter, editor, bureau chief, and columnist, including a stint as editor of the editorial pages from 2007 through 2010. He is the author of four books, including biographies of Chief Justice Earl Warren and Gov. Jerry Brown. Newton teaches at UCLA, where he founded Blueprint magazine, and is a columnist for CalMatters. He received the American Political Science Association’s
Top End Sports brings sports-based wheelchairs to life
Inside a Pinellas Park warehouse, precision engineering meets purpose. Top End builds equipment that helps athletes around the world compete at the highest level.
Beyond The Hype: How AI Is Rewiring Fashion’s Art And Science
AI is recalibrating fashion from design to supply chain. Explore how leaders at Levi’s, ALO Yoga, and REVOLVE bridge data-driven precision with human-inspired creativity.
Precision Nutrition: Tufts University Expert Q&A On How Personalized Diet Science May Transform Health - Where The Food Comes From
Tufts expert José Ordovás explains precision nutrition and how personalized diet science could transform health and prevent disease.
Opinion: The Barrier to ALS Precision Drugs Isn’t Science. It’s the ‘Valley of Death’
As Congress debates renewing the Act for ALS, it must prepare for the coming era of precision ALS medicine by prioritizing early-stage research to more quickly bring effective treatments to the market.
NN, Inc. Provides Update on Business Growth in the Data Center, AI Reasoning, and Cloud Computing Markets
CHARLOTTE, N.C., March 18, 2026 (GLOBE NEWSWIRE) -- NN, Inc. (“NN” or the “Company”) (NASDAQ: NNBR), a global diversified industrial company that engineers and manufactures high-precision components and assemblies with six sigma quality, today provided an update on its growing presence in the data center market, a key targeted growth market for the Company. NN has secured multiple new awards with a leading global provider of AI infrastructure and data center computing equipment. As this industry
China targets measurement science in tech race with U.S. - Futura-Sciences
The invisible backbone of modern technology Behind every electronic chip, satellite, and medical device sits a system of measurement. Without extreme precision in units, standards, and calibration methods, no technology operates reliably. Metrology ensures that a nanometer is actually a nanometer, that a processor performs exactly as intended at atomic...
Super powerful Dell Pro Precision 7 14 and Pro Precision 7 16 workstation laptops are now official
The Dell Pro Precision 7 14 and Pro Precision 7 16 workstation laptops are now official with the latest Intel Panther Lake APUs and powerful Nvidia RTX Pro graphics. Both mobile workstations feature clean designs with Dell's new modern keyboards and Thunderbolt 4/5 ports.
Alto Neuroscience Reports Full Year 2025 Financial Results and Recent Business Highlights
MOUNTAIN VIEW, Calif., March 16, 2026--Alto Neuroscience, Inc. ("Alto") (NYSE: ANRO), a clinical-stage biopharmaceutical company focused on the development of novel precision medicines for neuropsychiatric disorders, today reported financial results for the full year ended December 31, 2025, and highlighted recent progress across its pipeline of clinical-stage product candidates.
Precigen to Announce Full Year 2025 Financial Results and Provide Business Updates on March 25
Precigen, Inc. (Nasdaq: PGEN), a commercial-stage biopharmaceutical company specializing in the advancement of innovative precision medicines to improve the lives of patients, today announced the Company will release full year 2025 financial results and provide business updates on Wednesday, March 25, 2026. The Company will host a conference call to discuss results that day at 4:30 PM ET.
Guardant Health Launches Coast-to-Coast Screening Tour, Bringing Shield Colon Cancer Blood Test to Over 100 Communities Across America
Shield Across America mobile screening tour launches during Colorectal Cancer Awareness Month to address nation’s dangerously low screening rates by bringing Shield blood test directly to Americans Route will focus on rural communities across the country with the lowest screening rates and highest CRC incidence and mortality Shield is proven to increase screening rates with a 93% adherence Guardant Health, Inc. (Nasdaq: GH), a leading precision oncology company, today announced the launch of Shield Across America, a historic coast-to-coast mobile screening tour bringing Shield, the first and only FDA-approved blood test as a primary colorectal cancer (CRC) screening option and recommended in national guidelines , directly to over 100 communities across the country from Las Vegas to Hartford, Atlanta and more. Mobile screening bus providing Shield by Guardant Health, the first and only FDA-approved blood test for primary colorectal cancer screening From national sporting events to
Actor and Cancer Advocate Patrick Dempsey Partners with Guardant Health to Raise Awareness about Colorectal Cancer Screening and Shield Blood Test, Sharing His Experience Getting Screened
1 in 3 eligible Americans avoid colorectal cancer (CRC) screenings because traditional methods are viewed as unpleasant and inconvenient Guardant's FDA-approved Shield blood test offers an easier, more convenient way to screen with a blood draw from any prescribing healthcare provider for adults 45+ at average risk for CRC Motivated by his mother’s cancer fight, Dempsey is calling on Americans to prioritize getting screened this CRC Awareness Month Guardant Health, Inc. (Nasdaq: GH), a leading precision oncology company, today announced its partnership with actor and cancer advocate Patrick Dempsey to increase awareness about colorectal cancer (CRC) screening and the Shield® blood test. Approved by the U.S. Food and Drug Administration (FDA) in 2024 and recommended in national guidelines , Shield offers an easier way to screen for colorectal cancer (CRC) with just a blood draw for eligible individuals 45 and over at average risk for the disease. Patrick Dempsey, actor and cancer
[Galaxy Unpacked 2026] A First Look at the Galaxy Buds4 Series: Precision Sound Meets Intelligent Design
On February 25, Samsung Electronics unveiled the Galaxy Buds4 series at Galaxy Unpacked 20
UTA appoints Lal to lead precision health, informatics
Dennis Lal, a renowned neurogenetics expert, succeeds Marion Ball at the Center for Innovation in Health Informatics
Five Berkeley Lab Scientists Receive DOE Early Career Research Awards
Five scientists from Lawrence Berkeley National Laboratory (Berkeley Lab) have received Early Career Research Program (ECRP) awards from the Department of Energy. The ECRP program, now in its 16th year, was established to bolster the nation’s scientific workforce by supporting exceptional researchers at the outset of their careers, when many scientists do their most formative work. Recipients use the funding to pursue projects that have the potential to solve scientific challenges and advance the country’s STEM capabilities. To be eligible for the program, a researcher must be an untenured, tenure-track assistant or associate professor at a U.S. academic institution, or a full-time employee at a DOE national laboratory or Office of Science user facility, who is within 10 years of having earned their doctorate. Awards to an institution of higher education will be approximately $875,000 over five years, and awards to a DOE national laboratory or Office of Science user facility will be approximately $2,750,000 over five years. This year’s Berkeley Lab awardees and their projects are listed below: Timon Heim: Better detectors for more powerful particle colliders Timon Heim is a staff scientist in the Physics Division. His ECRP project will develop a new type of detector that can track the particles generated by collisions in particle colliders with high spatial and temporal resolution. Current detectors in use at high-energy colliders, like the ATLAS detector at the Large Hadron Collider (LHC) at CERN, can track the trajectory and measure momentum of particles, but they can’t track a particle’s time of arrival with sufficient precision to discern from which of the many particle interactions they originate. Heim’s proposed technology — called a 4D tracking detector, because it captures data about particles’ positions in space and time — aims to solve this challenge, allowing researchers to glean more precise data from collision experiments to uncover new insights into fundamental forces and potentially discover new particles. The enhanced capabilities of 4D detectors will be a necessity for experiments at future colliders, such as the Muon Collider or Future Circular Collider. The project will develop custom microelectronics that process the signal of a pixelated silicon sensor that can register charged particles passing through it in an extreme radiation environment that these colliders produce during operation. The goal is to measure individual particles’ position with 50-micro-meter spatial and 50 pico-second (one trillionth of a second) temporal precision, for an incoming flux of around 1 billion particles per second per square centimeter. Harrison Lisabeth: Studying underground processes to unleash abundant energy Harrison Lisabeth is a research scientist in the Energy Geoscience Division focused on combining real-world experiments and AI to guide development of geothermal energy systems. His project will explore how deep underground rock formations – where geothermal wells are dug – are stressed by chemical reactions of the minerals and mechanical strain from movements in the Earth. A better understanding of subsurface stresses is essential to engineer safe and reliable geothermal wells that access the heat of deep rocks to produce electricity. It is estimated that the U.S. could generate ten times the amount of energy needed to power the grid using geothermal sources. Lisabeth plans to simulate how minerals grow, dissolve, and influence the behavior of surrounding rock in geothermal reservoirs by tracking chemical changes in rock samples under pressure in the lab. The project will also develop machine learning models to predict geologic strain based on field measurements and refine existing models that describe how common rock types deform under stress. Combining these approaches, Lisabeth hopes to develop a framework to predict stress to improve stability and longevity of geothermal wells. Daniel Carney: Pushing the quantum boundaries of particle measurement Daniel Carney is a staff scientist in the Physics Division who uses quantum information science to study particle physics and gravity. At very small scales, “quantum noise” — random fluctuations from the act of measurement — can drown out faint signals from rare processes. Carney’s ECRP project, “Fundamental Physics at the Quantum Limits of Measurement,” aims to build a new mechanical quantum sensor that can measure extremely small particle interactions below the limits of that quantum noise. The approach uses lasers to hold a tiny bead containing radioactive atoms; when one decays, the system measures the bead’s motion and the energy of any particles emitted. The experiment’s initial goal is to search for heavy sterile neutrinos, hypothetical particles predicted by some extensions of the Standard Model. The system could also help measure the mass of the neutrino, study the way particles interact through the electromagnetic and weak forces, and hunt for low-mass dark matter — all unsolved mysteries in particle physics. Callum Wilkinson: Using machine learning to demystify neutrinos Callum Wilkinson is a staff scientist in the Physics Division and part of the international Deep Underground Neutrino Experiment (DUNE) hosted by Fermi National Accelerator Laboratory. DUNE will create an intense beam of neutrinos that interact in detectors in Illinois and, after an 800-mile journey through the earth, in massive detectors in South Dakota. By precisely measuring neutrinos and how they change, researchers will get a better understanding of their fundamental properties and whether they are responsible for why there is so much more matter than antimatter in our universe. Wilkinson’s ECRP project will apply two machine learning techniques to improve the analysis of DUNE’s data and enhance the experiment’s precision. One approach will look for hidden patterns in how neutrinos interact and produce low-energy particles, while the other will help correct for distortions in what the detectors record. The methods will be tested on one of DUNE’s prototype detectors and could be used in other neutrino experiments, improving their measurements and helping scientists build better models. Aditi Krishnapriyan: Machine learning methods that scale as datasets grow Aditi Krishnapriyan is a faculty scientist in Berkeley Lab’s Applied Mathematics and Computational Research Division (AMCR) and assistant professor at UC Berkeley. Her project, awarded through UC Berkeley, will develop machine learning methods that scale with dataset size for modeling complex, multi-scale phenomena. The resulting tools can be applied in a wide range of research, including the study of new electrolytes for batteries or the examination of molecular interactions. ### 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.
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