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How neutrinos, which barely exist, just ran off with a Nobel Prize
On Oct. 6, the 2026 Nobel Prize in Physics was awarded to Francis Halzen (University of Wisconsin) “for decisive contributions to the IceCube Neutrino Observatory and the discovery of high-energy neutrinos of astrophysical origin.” What’s all this about?I have known Francis — as an inspiration, mentor and friend — for over 35 years. T...
What Kills Schrödinger’s Cat? Scientists Just Ruled Out a 60-Year-Old Theory
Gravity has been proposed as a reason quantum superpositions become difficult to observe in everyday objects. A new experiment challenges one longstanding model of this process. A detector buried deep beneath an Italian mountain has challenged a decades-old theory about why quantum behavior disappears from the world we experience. After 62 days of measurements, researchers
Metal Detectorists Were Clearing a Deadly Minefield—and Found a 600-Year-Old Lost Weapon Instead
A 28-character inscription names the man who forged Korea's oldest known gunpowder weapon.
Google's SynthID AI Detector is Now Available to Everyone
Google today said it is making its SynthID Detector available to everyone for identifying content created using AI. SynthID Detector first rolled out to members of the media last year, and it is now available worldwide in English. SynthID Detector is a website that lets users upload a photo, video, or audio file to determine whether it has a SynthID watermark that identifies it as AI-generated.
Google rolls out improved SynthID AI content detector, now available globally
The new SynthID website can now identify AI content from Google, OpenAI, and more.
Google's AI Detection Website Is Now Available
SynthID Detector will flag content created with AI tools from OpenAI, Google, Apple and other companies.
Google's new SynthID website can identify AI-generated media
Google on Tuesday launched a new site that lets anyone verify whether a piece of media, be it an image, a video or an audio clip, is generated using AI.
Nobel prize in physics 2026: high energy cosmic neutrinos
Second up for the 2026 Nobel Prizes was the award for physics. And this year it went to just one scientist, Francis Halzen. The Belgian physicist won the prize based on his work on the IceCube detector that observes ghostly particles called neutrinos. Science editor Ian Sample tells host Madeleine Finlay how Halzen came up with the brilliant idea to use sensors buried in the ice to detect these extraterrestrial particles.
Nobel prize in physics goes to Francis Halzen for south pole work on neutrinos
Belgian physicist praised for work on the IceCube detector that observes the ghost-like particles in Antarctica
New AI Detector Spots Machine-Written Science Papers With 91.5% Accuracy
Researchers in Jordan have developed a hybrid deep learning detector that distinguishes human-written scientific text from output generated by ChatGPT, Gemini, and LLaMA-3 with 91.5 percent accuracy.
Baystate Health rolls out AI weapon detectors
Baystate Health is introducing new artificial intelligence-based weapons detection systems across its hospital facilities to enhance patient and visitor safety.
Physicists Just Turned The Entire Planet Into a Dark Matter Detector – And Strange Signals Kept Turning Up
Just axion questions.
Microsoft (MSFT)’s Outlook and OpenAI’s ChatGPT Work Both Broke the Same Day
On August 31, 2026, CNBC reported that Microsoft Corporation (NASDAQ:MSFT) suffered a widespread Outlook and Exchange Online outage on August 31, with Downdetector reports peaking at 6,015 for Outlook and 2,044 for Microsoft 365. Microsoft said on its status page that “users may experience degraded functionality with various Exchange Online functionalities” while it reviewed service […]
The core anti-Pangram constituency is phony writers
Welcome to The Closing Argument, our verdict on the news, plus everything The Argument published and appeared in this week. The Verdict, by Kelsey Piper A lot of people hate AI for drowning the internet in slop and displacing human creatives. You might think that these people would be thrilled by a program that can identify and flag AI-generated work. But many people who hate AI also hate Pangram, an impressively accurate AI detector that produces very few false positives, according to high-quality independent research. This loathing found its most recent expression in a bizarre Wired article that amplifies a wide range of false arguments from Pangram skeptics: that AI detectors are racist (they’re not) or ableist (they’re not)1 or don’t work (this one does)2. Rather than starting from the premise that it would be really valuable to have a working AI detector and scrutinizing Pangram to make sure it lives up to that promise, the article starts from the premise that Pangram obviously has bad vibes and sets out to discover why. (One answer: The CEO microwaved lunch during an interview!) Why aren’t writers who resent Pangram more eager to distinguish themselves from posters who are having ChatGPT ghostwrite all their work? There are a few different things at play, but I think one key dynamic is this: These are often the same people. A core constituency for arguments like Wired’s is “writers” who are using AI to write their posts but resent this fact being made public. They stand to lose from AI detectors because AI detectors call them out. Share When Substack announced a partnership with Pangram, a sizable fraction of the platform’s authors rose up in outrage. Some people had experience with other AI detectors that didn’t work, and some felt that AI writing ought to be encouraged — both of which are fair enough. But the fury was fueled by authors passionately insisting that Pangram kept wrongly accusing them on almost every post they published. Pangram can be wrong, especially on short passages. But in the overwhelming majority of cases where Pangram looked at a whole blog post rather than a single paragraph, the program correctly detected work as AI. Even if we can’t be 100% sure in any individual case, we can notice the trend in the aggregate. Wired quotes Sam Illingworth, a professor of critical AI literacy at Edinburgh Napier University, who said, “I don’t think [AI detectors] work. … I think that detectors are prejudiced against certain people.” This spring, he said that he used AI for research and editing; this summer he acknowledged that in addition to research and editing, he also uses it “now and then for a turn of phrase I keep.” Pangram informs us that most of his posts are 100% AI-written (some are mixed AI-and-human) and that 100% AI-written posts started appearing last year. The favorable interpretation is that, as someone whose recent work Pangram consistently mistakes for AI, Illingworth sees Pangram’s flaws firsthand. The unfavorable interpretation is that the tool’s credibility trades off against his own, because its account of who writes his posts is not consistent with his. Illingworth is not alone in insisting the detector does not work. “It’s a Monday night in late July, and I’m pasting my own Substack draft into an AI detector for the first time. Not because I’m worried. Because I’m curious. I wrote every word of it myself, the way I write everything, out loud in my head first, in a rhythm that still carries the accent of a language I learned to think in before I learned to write in this one,” begins one Substack post by an author indignant that Pangram flags her writing as AI. “That’s the part I had to sit with before I could write this.” If you, like me, have worked with AIs a lot, you won’t even need Pangram there. The author of that piece is AI. It is obviously AI! I checked 10 other posts on the blog, and they were also obviously AI! “I have spent 22 years as an award-winning author and essayist. And now this bullshit tool that learned from MY writing is going to accuse me of plagiarism,” popular Substack writer Carlyn Beccia wrote in an anti-Pangram post. “For the last and final time, AI DETECTORS DO NOT WORK.” Here’s what her writing sounded like in 2020: “Most success stories revolve around one person who believed enough in you to say — give it a try. We call these people muses, but they are so much more than that. They are the strong man giants whose shoulders we stand on so we can see the horizon. Throughout the editing process, I am sure my editor felt less like a giant of greatness and more like Atlas with the world on her shoulders.” Pangram says it was 100% human-written. (So were other articles of hers in 2020.) And here’s what it sounds like now: “And then there is the reshuffling, which sounds like paperwork until you remember that empires have always loved paperwork. The Trump regime recently moved special education oversight from the Education Department to HHS. That is not a minor bureaucratic transfer. It changes the frame.”3 Pangram says this is mostly AI. I am not convinced that Pangram is wrong. In my own experience, Pangram is very effective on long texts — if it marks a long essay as AI, the essay was either written by AI or deliberately written to sound like AI. On tweet-length or paragraph-length texts, it’s not perfectly reliable. It seems to work just as well for non-native English speakers as for native speakers. While I have seen dozens of claims of pre-2022 text returning a positive result on Pangram, I have tried repeatedly to corroborate those and have never once succeeded. To be clear, I’m absolutely not saying that complaining about Pangram suggests a writer is a cheat. There are plenty of other concerns. Most are mistakenly premised, such as the false claim that Pangram trains on work you put into it, but others are reasonable: It’s unreliable on sufficiently short text segments; it creates an internet witch-hunt mentality when there are defensible uses of AI; people who are open about their AI use are sometimes blamed, when the only people really doing something wrong are the ones who hide it; and it isn’t perfect, so a single positive result shouldn’t be taken as decisive proof of misconduct. I’m happy to concede that Pangram is imperfect and possible to over-rely on. If an author’s posts are mostly non-AI and one scans as partially AI, this could be a mistake. It’s also possible to defeat Pangram with intentional effort. If you think we need something more robust and more reliable, fine! But if you don’t like AI and don’t like Pangram, your attitude really ought to be that it’s a shame that our existing tools for AI detection are imperfect, and it’s important to invent better ones. If your stance is instead that AI is evil and so is looking for AI, then ultimately you’re contributing to the sloppification of the internet. You’re making it harder for people who write their own text to distinguish themselves, and providing cover for authors who are definitely not writing their own text. Subscribe Top stories this week, by Kobe Yank-Jacobs Commentators often worry that the decline of reading could mean the decline of liberal democracy — but deliberative governance actually predated widespread literacy. This week, Maibritt Henkel pointed out that many liberal cultures thrive on a culture of raucous, interactive debate, which can happen in-person as easily, if not more so, than in text. Read on, dear reader, to learn more. It may actually cheer you up: [ ](https://www.theargumentmag.com/p/reading-wont-save-liberalism) [ Reading won’t save liberalism ](https://www.theargumentmag.com/p/reading-wont-save-liberalism) Maibritt Henkel · Sep 1 [ Read full story ](https://www.theargumentmag.com/p/reading-wont-save-liberalism) It used to be bad to downplay climate change (if we mean denying its reality). Today, it’s actually good to downplay climate change (if we mean keeping the issue out of political fights so we can make real progress). This counterintuitive view is called “climate hushing,” and contributor Alex Trembath argued that it’s the key to enacting good policy going forward. Get up to speed on the latest in climate politics: [ ](https://www.theargumentmag.com/p/we-wont-stop-climate-change-by-talking) [ We won’t stop climate change by talking about it ](https://www.theargumentmag.com/p/we-wont-stop-climate-change-by-talking) Alex Trembath · Sep 2 [ Read full story ](https://www.theargumentmag.com/p/we-wont-stop-climate-change-by-talking) Canada’s Prime Minister Mark Carney is standing up for the forces of liberalism against Donald Trump’s assault on our closest ally. So, why is one prominent left-wing commenter attacking Carney? Columnist Matthew Yglesias explains: [ ](https://www.theargumentmag.com/p/when-economic-liberty-means-central) [ When "economic liberty" means central planning ](https://www.theargumentmag.com/p/when-economic-liberty-means-central) Matthew Yglesias · Aug 31 [ Read full story ](https://www.theargumentmag.com/p/when-economic-liberty-means-central) 🌟Abundance Wins of the Week🌟 Shout out to my home state of California, whose legislature passed two housing bills this week. One requires a housing density minimum in transit-oriented areas of the state’s most transit-rich cities (Los Angeles, Sacramento, San Francisco, Oakland, San Jose, San Diego, and Long Beach). Another bill closes two common loopholes used by third parties to delay housing projects, including an opportunity to challenge maps of a given lot created by the developer after a project has been approved. Shout out to our big-state rival, Texas, where pro-housing SB 785 took effect this week. The new state law requires municipalities to have at least one district permitted for manufactured housing without a special permit. This will promote zoning changes in 44% of municipalities. The company Fervo Energy signed a deal with Google for what is set to be the world’s largest enhanced geothermal facility, proving a technology can work at a scale that could be crucial to a decarbonized, energy-abundant economy. Share Worth watching… This week, forecasting legend Nate Silver joined Jerusalem, Matt, and Jeremiah on a crowded episode of the pod. It was a party. And speaking of parties, our round table debated the factional lines within the Democratic Party: Is it possible to be center-left and also anti-establishment? Watch or listen to find out: The Rio Grande Valley in Texas is one of the areas that swung hardest toward Trump in 2024, but musician Bobby Pulido is running to flip it back. Right now, The Argument/Split Ticket’s model has him running 1.1 points behind his Republican opponent in a district Trump won by 18 points. Tune in to find out how he differs from national Democrats and what he thinks he can to do win this seat. On Thursday, Bernie Sanders was among the first politicians to call for a ban on superintelligence. My guest this week, Andrea Miotti, has been lobbying to ban superintelligence for several years, most recently in the U.K., U.S., and Canada. I asked him how he gets legislators to take speculative risks seriously, and we dug into what plans might look like to actually pass a ban. Listen to learn more: What’s News with The Argument The Argument recommends, by Kobe Yank-Jacobs If we ever lose track of Justin Zuckerman, I’ll have the team split up and check all the movie theaters in the city. I’m shocked (and a little jealous) at how often he gets out to see good cinema. This week, he brings us It Ends, a “horror-ish movie,” which he described as a “Gen Z Waiting for Godot.” I was intrigued before he added that it was “funny, dark and existential” — at which point I was fully locked in. I guess I also had existential themes on the mind this week. One morning, a single line from a poem I read long ago just came to me: “Is death a stretch of time in which a life is just a flash?” The poem is called “From 20,000 Feet” by Heather McHugh. I suggest the version in The Vintage Book of Contemporary American Poetry, which, by tradition, my best friend and I always bring backpacking, extra weight be damned. We’ll stay thematically dark for just one more rec from senior editor John Robert Thomason, whose upcoming trip to Baltimore reminded him to suggest Michael Clune’s memoir White Out (about being addicted to heroin in Baltimore in the 1990s). Ben Lerner’s blurb called it _“_Disturbing, brilliant, hilarious—it’s as if Proust had written Jesus’ Son.” John told me this “seems accurate, with the caveat that I’ve never read Proust.” I, personally, have also shelved Proust until retirement. At this point, I was a little concerned for the team since all of us tossed out such psychologically grim material — maybe we’re all down about the end of summer — but thankfully, at least a few of us were into more upbeat selections. Milan Singh recommended Made In’s 5-quart stainless clad saucier, suggesting he had some fun in the kitchen. Jeremiah Johnson asked if he could recommend yet more Carly Rae Jepsen. Once denied, he offered up Game Changer instead_,_ calling it “the most wildly creative game show, maybe in the entire history of the genre.” Eli Richman mentioned _Lucky, “_a B-tier show with an A-tier cast and an S-tier theme song.” I suppose he was recommending the song, Horns of a Bull. Still, despite these cheerier recs, I couldn’t help but be concerned that we were subconsciously worried about racing toward summer’s end — the end of swim trunks and splashing around. Then a message landed reminding me of the three-day weekend to come. A whole extra day for sunshine. One more swim in the lake. I was grateful this called to mind yet another line from a poem, one by Mary Oliver, the patron saint of every gorgeous summer day (and about whom a documentary is now out). Speaking to God in the poem “Thirst,” she wrote: grant me, in your mercy,a little more time. Love for the earthand love for you are having such a longconversation in my heart. We have merch! We have quarter-zips, keychains, hats, and stickers. Each one is a great conversation starter in its own way. Buy them here. Subscribe More to read: [ The Opening Argument ](https://www.theargumentmag.com/p/seeing-like-an-elite)[ Seeing like an elite ](https://www.theargumentmag.com/p/seeing-like-an-elite) Kobe Yank-Jacobs · Sep 4 What do Americans hear when they watch Sen. Bernie Sanders or Vice President JD Vance rail against the elite? Are they thinking of right-wing tech billionaires? Imperious college professors? Liberal magazine writers? [ Read full story ](https://www.theargumentmag.com/p/seeing-like-an-elite) [ The Weekly Scroll ](https://www.theargumentmag.com/p/god-is-back-on-the-timeline)[ God is back on the timeline ](https://www.theargumentmag.com/p/god-is-back-on-the-timeline) Jeremiah Johnson · Sep 5 This week, we’re talking about Substack’s new religious debates, the continuing MAGA influencer scandal, how to retire from YouTube, and aura battles. [ Read full story ](https://www.theargumentmag.com/p/god-is-back-on-the-timeline) 1 This was a legitimate thing to worry about, but doesn’t seem to be a problem given the actual technology: Marijke Van Vlasselaer, Filip Van Droogenbroeck, and Bram Spruyt’s 2026 paper looks at whether Pangram is less accurate when evaluating the work of non-native speakers of English. It isn’t. That’s because Pangram isn’t really looking at how “unusual” a piece of writing is but whether it has the characteristic patterns of LLMs. The Wired article makes an odd gesture at a different Pangram-is-racist argument. There were several controversies this summer during which upcoming books were canceled after being discovered to be AI-written: “The three novels mentioned earlier — Shy Girl, Daggermouth, and Call Me, easily publishing’s biggest AI-detection scandals — were all written by writers of color.” But come on! As Zvi Mowshowitz put it: “They were not primarily written by people of color. They were primarily written by AIs.” That’s the whole problem! And as my colleague Jeremiah Johnson recently observed with respect to Cambridge’s Arday scandal, a community being unwilling to call out fraud if it’s perpetuated by people of color is not an anti-racist tendency; it is ultimately quite racist. 2 Many non-Pangram detectors don’t work, but many possible airplane designs also don’t work, and no one considers this a general argument against aviation; the thing that matters is whether any detection works. 3 The phrase “empires have always loved” mysteriously became all the rage in the last few years. See here, here, here, here and here. Before 2025, the only use of that phrase I have been able to find is a single Tweet. The logic of the sentence, too, is incoherent in an AI-characteristic way. “...sounds like paperwork, until you remember that empires have always loved paperwork”? Does remembering that make it sound less like paperwork? It’s a craft-ful sentence, but what is it actually saying??
Dark matter detector finds a strange signal scientists can’t yet explain
The LUX-ZEPLIN experiment has detected a rare particle interaction that looks unusually difficult to explain as ordinary background noise and appeared where dark matter might be expected. Scientists are not claiming a discovery yet, but additional data could show whether this single mysterious event is the first hint of a long-sought dark matter particle.
ATLAS publishes first paper on Public Engagement with Science
You can’t exactly take the ATLAS experiment on tour. At 7,000 tonnes and buried 100 metres underground at CERN, it’s not easy to move. So, for more than a decade, the ATLAS Collaboration has found another way to bring the experiment to people around the world: live, interactive virtual visits with the scientists who work on it. In a recent paper published in the European Physical Journal Plus, the ATLAS Collaboration documents the evolution and impact of its flagship Virtual Visits programme. The paper is the Collaboration’s first publication focused specifically on science education, communication and outreach. It traces the programme from its beginnings as an experimental outreach effort in 2010 through its growth into a global programme – connecting classrooms in the Amazon, schools in the Himalayas and even a research station in Antarctica. Drawing on data collected between 2019 and 2025, the paper examines the programme’s reach and impact. Global reach, local connection Figure 1: World map showing the number of virtual visits across participating countries from 2019 to 2025. Cooler colours (purple and blue) are used for countries with fewer visits, and warmer colours (red and orange) for countries with more visits. (Image: ATLAS Collaboration/CERN) The core mission of the ATLAS Virtual Visit programme is to connect audiences worldwide with particle physicists and engage them in accessible discussions about cutting-edge research. While visiting CERN in person is an unforgettable experience, financial and logistical barriers can make such a trip difficult for many students and public groups. Video conferencing has allowed the Collaboration to break down these barriers: between 2019 and 2025, the Collaboration hosted 698 virtual visits, engaging tens of thousands of participants across nearly 70 countries (see Figure 1). Interactivity is central to the programme. Far from simple one-way broadcasts, Virtual Visit audience members are encouraged to engage in conversation with the scientist(s) hosting the visit. Most hosts are volunteers from the ATLAS Collaboration, who bring their diverse scientific expertise, language skills and cultural backgrounds to each visit. Where possible, audiences are paired with volunteer scientists who share their native language and cultural background, making it easier to engage, ask questions and connect with the hosts. Between 2019 and 2025, Virtual Visits were held in 19 different languages. The core mission of the ATLAS Virtual Visit programme is to connect audiences worldwide with particle physicists and engage them in accessible discussions about cutting-edge research. Constant evolution Figure 2: The number of ATLAS Virtual Visits organised annually since 2019. (Image: ATLAS Collaboration/CERN) The ATLAS Virtual Visit programme has continuously evolved to enhance the visitor experience. Early sessions were hosted directly from the ATLAS Control Room before transitioning in 2014 to a dedicated space in the ATLAS Visitor Centre, equipped with modern videoconferencing technology. In 2019, the ATLAS Collaboration expanded the programme’s reach, introducing live Virtual Visits from the experimental cavern during year-end maintenance stops and long LHC shutdowns. These exclusive sessions take participants beyond the ATLAS visitor platform, offering real-time, up-close views of the towering detector. When the COVID-19 pandemic disrupted in-person gatherings worldwide, demand for virtual engagement surged. The ATLAS Collaboration adapted rapidly by introducing Open Virtual Visits streamed via Zoom and YouTube, allowing individual science enthusiasts and families to join live guided tours. Figure 2 shows that the programme reached a peak of 155 visits in 2021 and has since maintained around 100 visits per year, demonstrating sustained engagement beyond the pandemic-driven increase. More than just a tour Beyond participation numbers, the paper highlights the positive impact on participants and educators. Teachers report successfully integrating Virtual Visits into their physics curricula, sparking sustained curiosity and in many cases inspiring students to pursue STEM studies and careers. Feedback received also highlighted how the direct dialogue with ATLAS scientists has given students an authentic and personal perspective on particle physics, helping them connect what they learn in the classroom with the people behind ATLAS research. Looking ahead, the programme will continue to evolve with new technologies and communication platforms. The goal is simple: to give even more audiences the opportunity to engage directly with particle physics and make fundamental science open to all. Learn more Breaking barriers: the impact of ATLAS Virtual Visits in science communication (Eur. Phys. J. Plus 141, 874 (2026), arXiv:2601.22457, see figures) ATLAS Virtual Visit Dashboard Register for an ATLAS Virtual Visit
'Uncharted territory': Physicists find hints of mysterious dark matter
A single flash of energy spotted by the world's most sensitive dark matter detector has scientists excited they may have found hints of the elusive substance that permeates the universe.
LZ Sees Surprising Result in Search for Dark Matter
Key Takeaways Dark matter is the mysterious substance that accounts for the vast majority of matter in our universe. LUX-ZEPLIN (LZ) is a world-leading dark matter detector and specializes in searching for WIMPs, or weakly interacting massive particles. A new LZ study found one particle interaction that is difficult to explain with known background processes and could potentially have been caused by a WIMP. LZ continues to run to see if additional data strengthens or weakens the hint of a dark matter interaction. For the better part of a century, people have been trying to understand dark matter. This invisible substance makes up roughly 85% of the mass in the universe but has never been directly detected. Determining exactly what it is remains one of the biggest questions about our world. Now, a new analysis from the LUX-ZEPLIN (LZ) experiment has recorded a single particle interaction that researchers have great difficulty explaining with known background signals from normal matter. The result does not yet meet the statistical threshold required to claim a discovery, but is the most compelling hint of dark matter reported by the experiment to date. LZ is an international collaboration of 250 scientists and engineers from 39 institutions. The detector is managed by the U.S. Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) and operates nearly one mile below ground at the Sanford Underground Research Facility (SURF) in South Dakota. The experiment uses 10 tonnes of ultrapure liquid xenon to search for dark matter and is optimized to look for WIMPs, or weakly interacting massive particles. The results were presented in a scientific talk at the 2026 TeV Particle Astrophysics conference in Japan. The paper will be released on the online repository arXiv and submitted to the journal Physical Review Letters. “We’re very intrigued to see this event in the data, in the region where we expect dark matter to show up and the competing backgrounds are very low,” said Rick Gaitskell, a professor at Brown University and the spokesperson for LZ. “With only one event, we don’t want to get ahead of ourselves. We are not claiming to have seen dark matter. But we have seen something interesting that we want to share with the scientific community for their input.” The LZ collaboration studies experimental data in batches. In the new result, researchers analyzed 220 live days of data collected between March 2023 and April 2024. The collaboration had previously searched this dataset for faint signals from the simplest kinds of WIMP interactions. The new analysis searched for a broader range of possible WIMP interactions that could deposit more energy in the detector. LZ is particularly sensitive to such signals while also minimizing false positives. “This was a detailed study in a region we hadn’t explored within this dataset, and we spent months of additional effort to understand all the possible causes of background events,” said Sam Eriksen, a senior research associate at the University of Bristol in the U.K. and lead author of the study. “We understand our detector and the backgrounds so well that even a single outstanding event, like the one we found, is important. We expect dark matter events to be extremely rare, so only a handful could mark the first detection of WIMP dark matter.” If the anomalous event was caused by dark matter, the WIMP that generated it would likely have a mass of at least 200 GeV/c2 (gigaelectronvolts), or more than 200 times the mass of a proton. It would also suggest a specific type of interaction between WIMPs and ordinary matter beyond the simplest model. The LZ results have not reached “5-sigma” significance, the statistical threshold considered a discovery in physics. The new analysis is 2.6 sigma, meaning there is approximately a 0.5% chance that the event could be explained by known backgrounds. With additional data, researchers can test whether the finding continues to grow in significance or fades away. LZ has already accumulated the world’s largest dark matter dataset and will continue to accrue WIMP search data at SURF, substantially improving their search statistics. LZ searches for dark matter by looking for signature flashes of light from energy deposited in the detector. The collaboration leverages multiple methods to prevent or account for particle interactions caused by normal matter. This includes the mile of rock that shields the detector from cosmic rays from space, a water tank and outer detectors that protect the central detector from background neutrons, and a suite of computational tools that disentangle particle interactions and reject dark matter mimics. “Outlier events in the data are not unexpected, but they usually stand out as a background of some kind when you look at them deeper,” said Aaron Manalaysay, a physicist at Berkeley Lab and the chair of LZ’s Institutional Board. “This is the first example in any experiment I’ve worked on of an outlier that appears valid in every way. Of course, we’re still twisting our brains trying to think if there’s a rare background mechanism we could’ve missed, but it’s thrilling to wonder if this could be the first hint of a dark-matter observation.” LZ is supported by the U.S. Department of Energy, Office of Science, Office of High Energy and Nuclear Physics, and the National Energy Research Scientific Computing Center, a DOE Office of Science user facility. LZ is also supported by the Science & Technology Facilities Council of the United Kingdom; the Portuguese Foundation for Science and Technology; the Swiss National Science Foundation; the Australian Research Council Centre of Excellence for Dark Matter Particle Physics; and the Institute for Basic Science, Korea. Thirty-nine institutions of higher education and advanced research provided support to LZ. The LZ collaboration acknowledges the assistance of the Sanford Underground Research Facility. ### 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.
Dark matter detector picks up a mysterious signal
Unexplained event has just a 0.5% change of coming from an ordinary, known source
Microsoft Outlook Down for Thousands of Users, Downdetector Reports
Reports indicate a Microsoft Outlook outage affecting thousands. Find out more about the issues users are facing with Outlook.
NASA is preparing to launch the Nancy Grace Roman Space Telescope. Here's what to know
NASA plans to soon launch a new space telescope that will survey a billion galaxies to trace how the universe evolved over time, all courtesy of America’s spy program and decades of research into detector technology. Once in position, it will take data that astronomers hope will help answer some of the field’s most puzzling questions.
Why AMC Entertainment (AMC) Shares Are Trading Lower Today
Shares of theater company AMC Entertainment (NYSE:AMC) fell 3.7% in the afternoon session after it reported a spike in app and site outages during the “Dune: Part Three” ticket drop, on a weak day for risk assets. Forbes, citing Downdetector, said more than 1,000 outage reports came in after tickets went on sale, mostly against the mobile app — crash-on-launch, “Failed to fetch,” and rate-limit errors. The operational miss hit a high-demand IMAX/IMAX 70mm release and is a reminder that AMC’s app
Scientists detect a nuclear reactor’s ghostly afterglow for the first time
Nuclear reactors may go dark, but their fuel continues producing a faint antineutrino “glow” long after shutdown. Researchers have now detected that residual signal for the first time, finding it closely matched predictions of radioactive decay inside the reactor and nearby spent-fuel pools. The breakthrough suggests antineutrino detectors could eventually monitor reactors even when they are offline.
Scientists uncover new clue to how protons maintain their identity
New results from the STAR detector at the Relativistic Heavy Ion Collider (RHIC) suggest that gluons, the gluelike particles that hold quarks together inside protons, play a central role in the conservation of baryon number, an essential part of a particle’s quantum identity.
Verizon suffers outage in 'some parts of the US' with thousands of reports
Downdetector showed more than 12,000 reports by 4:30 p.m. ET as Verizon users flooded social media saying phone calls were not going through nationwide.
Can we stop AI from flooding scientific journals?
AI detectors may never beat fraud. Changing how science rewards its researchers might be the only fix that does
NVIDIA’s Synthetic Video Detector Spots Fake News & AI-Generated Content With 92% Accuracy, Analyzing 1080p Footage In Just 22ms
NVIDIA introduces the Synthetic Video Detector NIM microservice, achieving up to 92% accuracy in identifying Fake News.
The 20 best Peacock original series you can stream right now
This streamer has everything: a human lie detector, a fabulous Scottish reality show host, two (!) different girl groups, and "SNL" content galore.
Meta's Facebook and Instagram hit by outages
Facebook and Instagram users reported issues with accessing the platforms, according to the third-party outage-tracking website DownDetector.com.
Deezer launches an AI music detector for other streaming services
Feed Deezer your playlists to find the AI slop.
An underground detector in China unveils its first major findings about mysterious ghost particles
A massive underground detector aimed at understanding the mysterious ghost particles in our universe has released its first major findings.
A quantum metasurface breakthrough could finally close the terahertz gap
Researchers have developed a compact quantum detector that makes terahertz radiation much easier to detect. A specially designed metasurface funnels incoming energy into tiny active regions, greatly strengthening the electrical signal produced. The approach boosted efficiency by roughly 20 times compared to earlier designs and could pave the way for more practical THz devices in healthcare, communications, and scientific research.
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.
Neutrino detector could help scientists unlock Big Bang mysteries
A snappy new device is looking for the most abundant, yet elusive particles in the universe.
A big step forward for optical core of China’s Taiji gravitational wave project
A detector that will form part of a 3 million km-long triangular ruler has passed ground tests.
'The detectors never stopped beeping!' Nearly 3,000 coins discovered in field are Norway's largest Viking hoard on record
A Viking Age hoard of nearly 3,000 coins is the largest hoard of its kind ever found in Norway.
ICARUS experiment marks major milestone in first neutrino science results
The milestone by ICARUS paves the way to probe sterile‑neutrino oscillations for the full Short-Baseline Neutrino Program at Fermilab. The first results demonstrate the data’s excellent quality and suitability for physics analyses, as well as the maturity of the software tools for event selection, fitting and detector simulation.
In the West, businesses can only watch, not stop drone threats
With few options available, businesses and the wealthy in the West are buying drone detectors, a technology used often in Ukraine, to spot threats.
Gravitational waves may be hidden in the light atoms emit
Scientists have proposed a surprising new way to detect gravitational waves—by observing how they change the light emitted by atoms. These waves can subtly shift photon frequencies in different directions, leaving behind a detectable signature. The effect doesn’t change how much light atoms emit, which is why it’s gone unnoticed until now. If confirmed, this approach could lead to ultra-compact detectors using cold-atom systems.
A 200-year-old light trick just transformed quantum encryption
Scientists have unveiled a new approach to ultra-secure communication that could make quantum encryption simpler and more efficient than ever before. By harnessing a 19th-century optics phenomenon called the Talbot effect, researchers developed a system that sends information using multiple states of single photons instead of just two, dramatically boosting data capacity. Even more impressive, the setup works with standard components and requires only a single detector, reducing cost and complexity.
Hundreds of Times Colder Than Outer Space: Scientists Reach Near-Absolute Zero in Dark Matter Hunt
Deep beneath the Earth’s surface, a major physics experiment has reached a critical milestone, enabling detectors to operate at temperatures near absolute zero.
Scientists Propose a Radical New Way To Detect Gravitational Waves Using Atomic Light
A new theoretical study suggests that gravitational waves may leave subtle signatures not in giant detectors, but in the light emitted by atoms.
Scientists discover heavier version of proton with upgraded detector
Snappily named Xi-cc-plus, Cern physicists spotted the particle in shower of debris that lit up Large Hadron Collider
CERN Science Gateway celebrates its 1000th science show
CERN Science Gateway has reached another milestone: the delivery of its 1000th science show! Since opening its doors in October 2023, Science Gateway has welcomed nearly 900 000 visitors of all ages to explore the fundamental questions of the Universe. Among its most popular activities are the science shows – dynamic, interactive demonstrations led by CERN guides and tailored to a broad audience of different age levels, including school groups, families and the general public. Designed to make complex scientific concepts accessible and entertaining, these live shows combine spectacular experiments, multimedia elements and audience participation. From the physics of particle collisions to the properties of superconductivity, electromagnetism and cryogenics, the science shows translate the research carried out at CERN into engaging visual experiences. Visitors might see superconductors levitate, follow particles through different detector layers or discover the beauty in phase transitions. Each demonstration is carefully crafted to spark curiosity while maintaining scientific accuracy. Members of the CERN community are of course warmly invited to visit CERN Science Gateway with their family or friends and attend one of the science shows. To register, please visit this page, and don’t forget to check the programme for the coming days. Become a CERN guide and run your own super-cool science show (and more)! To become a CERN guide, you can join the introduction course held every 3–4 weeks, which will give you an overview of what being a CERN guide entails. From there, further courses are available depending on what type of guide you would like to be. Because, of course, CERN guides are needed everywhere at CERN. If you imagine yourself as a more ‘traditional’ guide, you should know that there are currently more than ten exciting visit points in CERN’s visits portfolio, such as the Antimatter Factory, the ALICE experiment (surface), the Alpha Magnetic Spectrometer (AMS) control room, the ATLAS experiment (surface), the CERN Control Centre (CCC), the Data Centre, the LHCb experiment (surface), the Synchrocyclotron (SC), the SM18 test facility and the newly inaugurated Linac2 visit point. Indeed, CERN’s Visits Service and Visual Impact and Exhibitions Section recently collaborated on redesigning the Linac2 visit tour, which has just reopened to the public after several months of renovation work. The new tour offers visitors and guides alike an enriched, more immersive experience, designed to highlight the history and scientific significance of this major facility. So, fancy becoming one of the insiders? Join the introduction course, check the guides website or contact guides.manager@cern.ch. And remember, becoming a guide can benefit you, too.
Amazon down for tens of thousands of users in apparent outage
Shoppers are reporting Amazon on Downdetector, saying the problems ranged from checkout and payment failures to incorrect or fluctuating prices.
Amazon down for thousands of users in US, Downdetector shows
Amazon was down for thousands of users on Thursday, according to Downdetector.com.
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.
Antarctica 'ghost particle' observatory gets major upgrade that could 'pave the way' to physics breakthroughs
The National Science Foundation's massive IceCube neutrino detector at the South Pole just got a major new upgrade, which promises to take the search for "ghost particles" to a new level.
Celebrating Women in Science Day 2026 at CERN
Every year, on 11 February, CERN celebrates the International Day of Women and Girls in Science. In an effort to amplify diverse voices in STEM, six women scientists from CERN open up about their careers and the lessons they hope to pass on to the next generation. Francesca is an Italian biomedical engineer pursuing her PhD at CERN, working in the robotics team of the Beams Department. She’s currently working on the MARCHESE project, in affiliation with Campus Bio-Medico University of Rome, focusing on contactless monitoring of physiological parameters. Despite choosing a scientific career and often volunteering in scientific outreach initiatives, Francesca continues to nurture her passion for the humanities and arts. “I firmly believe that collaboration and inclusion are the right paths to improve the world together. I’m driven by a strong curiosity about everything around me.” Berare is a Turkish experimental physicist who worked with the ATLAS experiment during her MSc and PhD on searches for physics beyond the Standard Model. During her PhD, she became a Support Scientist for the Beamline for Schools (BL4S) competition, which marked the beginning of her journey combining research with science communication. She now works for both BL4S and ELISA, the mini proton accelerator at CERN’s Science Gateway. She fondly remembers the moment when the BL4S 2022 winners arrived at the experimental zone: “I felt incredibly lucky to share my passion with young, curious and really passionate people. We spent two weeks of beam time together watching their ideas turn into reality. All the intricate details of running an experiment, we accomplished them as a team.” Mia is a Canadian research fellow in the Accelerator Systems Department, working on beam developments for fundamental physics with radioactive molecules. Mia pursued a bachelor’s degree in mechanical engineering before moving to Vancouver for a master’s degree in engineering physics. Her interest in radioactive ion beam production brought her to CERN, where she studied actinide beams for three years as a PhD student in the Marie Curie European Training network “LISA” (Laser Ionisation and Spectroscopy of Actinides) at ISOLDE – a facility at CERN where scientists study the properties of atomic nuclei, with further applications in fundamental studies, astrophysics, and material and life sciences. Laura is a German mechanical engineer at CERN working on research and development to produce cavities for future accelerators. She studied mechanical and aerospace engineering at the Technical University of Munich. She joined CERN four years ago as a technical student for her master’s thesis and continued as a fellow working on collimators. Laura says that “as a child, I took part in girls’ day initiatives, which sparked my fascination for astrophysics and engineering. Later, it felt natural for me to give something back by organising workshops for young students to make STEM seem less intimidating and more accessible.” She particularly enjoys being close to the CERN Main Workshop and understanding how design ideas become real components. Paraskevi is a Greek physicist working at CERN’s HiRadMat (High-Radiation to Materials) facility, designed to deliver high-intensity beams to an irradiation area where material samples, as well as accelerator component assemblies, can be tested. She studied physics at NKUA, specialising in nuclear and particle physics, and is now pursuing her PhD at HiRadMat in collaboration with the University of Liverpool, studying novel materials for high-intensity beam diagnostics. “Continuous learning is one of my biggest motivators, and I am looking forward to exploring the limits of our knowledge on beam-material interactions,” says Paraskevi. Silvia is a Spanish physicist and deputy project manager for the Muon Drift Tube of the CMS detector, a general-purpose detector at the Large Hadron Collider (LHC). She started her career at CERN more than 20 years ago as a technical student, working on prototypes of the first dipoles for the LHC. “My first motivation came in high school, from my teacher,” says Silvia about what made her pursue a career in STEM. “My favourite part about my job is learning. You can learn something new every day.” In parallel to this initiative, like every year since 2017, from 2 to 6 February 66 women scientists and engineers visited schools in Geneva, Switzerland, and in the Haute-Savoie and Ain regions of France to meet with students. Organised in collaboration with CERN, the University of Geneva, EPFL, LAPP and LAPTh, this event allowed more than 4200 students between 6 and 17 years old to meet a woman scientist, discuss their profession and career path, ask questions and participate in classroom activities.
How do scientists hunt for dark matter? A physicist explains why the mysterious substance is so hard to find
Dark matter doesn’t seem to interact with the matter we can see and touch, so scientists look for it in unusual places, like faraway galaxies and underground detectors.
Scientists Are Building Detectors to Reveal the Invisible Universe
Most of the universe is made of dark matter and dark energy, yet scientists still don’t know what either one is. New ultra-sensitive detectors are being built to spot incredibly rare particle interactions that could finally reveal their nature. Scientists have made remarkable progress in understa
Metal detectorist finds medieval pendant with a Roman ‘secret’
The discovery is an artifact within an artifact.
Scientists are hunting for a forbidden antimatter transformation
MACE is a next-generation experiment designed to catch muonium transforming into its antimatter twin, a process that would rewrite the rules of particle physics. The last search for this effect ended more than two decades ago, and MACE plans to leap far beyond it using cutting-edge beams, targets, and detectors. A discovery would point to entirely new forces or particles operating at extreme energy scales.
Microsoft Down for Thousands of Users, Downdetector Reports
Thousands of users reported issues with Microsoft services including Outlook, Microsoft 365, and Microsoft Teams due to an outage.
When will Minecraft realms be back up? Frustrated users report 'bedrock couldn't load' error
According to DownDetector, the outage began around 12 p.m. EDT, with most reports citing problems connecting to servers and accessing gameplay.
Scientists are closing in on the Universe’s biggest mystery
Nearly everything in the universe is made of mysterious dark matter and dark energy, yet we can’t see either of them directly. Scientists are developing detectors so sensitive they can spot particle interactions that might occur once in years or even decades. These experiments aim to uncover what shapes galaxies and fuels cosmic expansion. Cracking this mystery could transform our understanding of the laws of nature.
We have no idea what most of the universe is made of, but scientists are closer than ever to finding out
Advanced quantum detectors designed at Texas A&M are reinventing the search for dark matter, an unseen force that science has yet to explain.
Steam Down for Thousands of Users, Downdetector Reports
Steam faces significant outages with thousands reporting server connection issues. Find the latest updates and troubleshooting tips.
A tape measure, a metal detector and a spirit level: 25 surprisingly useful things you can do with your phone
While many use our phones predominantly to doomscroll, smartphones have a range of little-known functions that could make life better and easier – from heart monitoring to even developing camera film
The biggest scientific breakthroughs of the last 25 years—and a few to watch
From decoding the human genome to exploring the universe, science has made huge strides in the 21st century.
Man with metal detector stumbles on perplexing Viking Age grave
The team found the deceased with scallop shelves partly covering the mouth.
Ghost particles slip through Earth and spark a hidden atomic reaction
Scientists have managed to observe solar neutrinos carrying out a rare atomic transformation deep underground, converting carbon-13 into nitrogen-13 inside the SNO+ detector. By tracking two faint flashes of light separated by several minutes, researchers confirmed one of the lowest-energy neutrino interactions ever detected.
Scientists are turning Earth into a giant detector for hidden forces shaping our Universe
SQUIRE aims to detect exotic spin-dependent interactions using quantum sensors deployed in space, where speed and environmental conditions vastly improve sensitivity. Orbiting sensors tap into Earth’s enormous natural polarized spin source and benefit from low-noise periodic signal modulation. A robust prototype with advanced noise suppression and radiation-hardened engineering now meets the requirements for space operation. The long-term goal is a powerful space-ground network capable of exploring dark matter and other beyond-Standard-Model phenomena.