Major space industry players -- including SpaceX, Boeing, and Blue Origin -- are urging Congress to maintain funding for the TraCSS space traffic coordination program, warning that eliminating it would endanger satellite safety and potentially drive companies abroad. Under the proposed FY 2026 budget, the Office of Space Commerce's funding would be cut from $65 million to just $10 million. "That $55M cut is accomplished by eliminating the Traffic Coordination System for Space (TraCSS) program," reports The Register. From the report: "One of OSC's most important functions is to provide space traffic coordination support to US satellite operators, similar to the Federal Aviation Administration's role in air traffic control," stated letters from space companies including SpaceX, Boeing, Blue Origin, and others. The letters argue that safe space operations "in an increasingly congested space domain" are critical for modern services like broadband satellite internet and weather forecasting, but that's not all. "Likewise, a safe space operating environment is vital for continuity of national security space missions such as early warning of missile attacks on deployed US military forces," the letters added.

Industry trade groups sent the letters to the Democratic and Republican leadership of the House and Senate budget subcommittees for Commerce, Justice, Science, and Related Agencies, claiming to represent more than 450 US companies in the space, satellite, and defense sectors. The letters argue for the retention of the OSC's FY 2025 budget of $65 million, as well as keeping control of space traffic coordination within the purview of the Department of Commerce, under which the OSC is nested, and not the Department of Defense, where it was previously managed. "Successive administrations have recognized on a bipartisan basis that space traffic coordination is a global, commercial-facing function best managed by a civilian agency," the companies explained. "Keeping space traffic coordination within the Department of Commerce preserves military resources for core defense missions and prevents the conflation of space safety with military control."

In the budget request document, the government explained the Commerce Department was unable to complete "a government owned and operated public-facing database and traffic coordination system" in a timely manner. The private sector, meanwhile, "has proven they have the capability and the business model to provide civil operators" with the necessary space tracking data. But according to the OSC, TraCSS would have been ready for operations by January 2026, raising the question of why the government would kill the program so late in the game.

An anonymous reader quotes a report from Ars Technica: When Stanford University researchers asked ChatGPT whether it would be willing to work closely with someone who had schizophrenia, the AI assistant produced a negative response. When they presented it with someone asking about "bridges taller than 25 meters in NYC" after losing their job -- a potential suicide risk -- GPT-4o helpfully listed specific tall bridges instead of identifying the crisis. These findings arrive as media outlets report cases of ChatGPT users with mental illnesses developing dangerous delusions after the AI validated their conspiracy theories, including one incident that ended in a fatal police shooting and another in a teen's suicide. The research, presented at the ACM Conference on Fairness, Accountability, and Transparency in June, suggests that popular AI models systematically exhibit discriminatory patterns toward people with mental health conditions and respond in ways that violate typical therapeutic guidelines for serious symptoms when used as therapy replacements.

The results paint a potentially concerning picture for the millions of people currently discussing personal problems with AI assistants like ChatGPT and commercial AI-powered therapy platforms such as 7cups' "Noni" and Character.ai's "Therapist." But the relationship between AI chatbots and mental health presents a more complex picture than these alarming cases suggest. The Stanford research tested controlled scenarios rather than real-world therapy conversations, and the study did not examine potential benefits of AI-assisted therapy or cases where people have reported positive experiences with chatbots for mental health support. In an earlier study, researchers from King's College and Harvard Medical School interviewed 19 participants who used generative AI chatbots for mental health and found reports of high engagement and positive impacts, including improved relationships and healing from trauma.

Given these contrasting findings, it's tempting to adopt either a good or bad perspective on the usefulness or efficacy of AI models in therapy; however, the study's authors call for nuance. Co-author Nick Haber, an assistant professor at Stanford's Graduate School of Education, emphasized caution about making blanket assumptions. "This isn't simply 'LLMs for therapy is bad,' but it's asking us to think critically about the role of LLMs in therapy," Haber told the Stanford Report, which publicizes the university's research. "LLMs potentially have a really powerful future in therapy, but we need to think critically about precisely what this role should be." The Stanford study, titled "Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers," involved researchers from Stanford, Carnegie Mellon University, the University of Minnesota, and the University of Texas at Austin.

Stanford researchers have developed a blood-based AI tool that calculates the biological age of individual organs to reveal early signs of aging-related disease. The Mercury News reports: The tool, unveiled in Nature Medicine Wednesday, was developed by a research team spearheaded by Tony Wyss-Coray. Wyss-Coray, a Stanford Medicine professor who has spent almost 15 years fixated on the study of aging, said that the tool could "change our approach to health care." Scouring a single draw of blood for thousands of proteins, the tool works by first comparing the levels of these proteins with their average levels at a given age. An artificial intelligence algorithm then uses these gaps to derive a "biological age" for each organ.

To test the accuracy of these "biological ages," the researchers processed data for 45,000 people from the UK Biobank, a database that has kept detailed health information from over half a million British citizens for the last 17 years. When they analyzed the data, the researchers found a clear trend for all 11 organs they studied; biologically older organs were significantly more likely to develop aging-related diseases than younger ones. For instance, those with older hearts were at much higher risk for atrial fibrillation or heart failure, while those with older lungs were much more likely to develop chronic obstructive pulmonary disease.

But the brain's biological age, Wyss-Coray said, was "particularly important in determining or predicting how long you're going to live." "If you have a very young brain, those people live the longest," he said. "If you have a very old brain, those people are going to die the soonest out of all the organs we looked at." Indeed, for a given chronological age, those with "extremely aged brains" -- the 7% whose brains scored the highest on biological age -- were over 12 times more likely to develop Alzheimer's disease over the next decade than those with "extremely youthful brains" -- the 7% whose brains inhabited the other end of the spectrum.

Wyss-Coray's team also found several factors -- smoking, alcohol, poverty, insomnia and processed meat consumption -- were directly correlated with biologically aged organs. Poultry consumption, vigorous exercise, and oily fish consumption were among the factors correlated with biologically youthful organs. Supplements like glucosamine and estrogen replacements also seemed to have "protective effects," Wyss-Coray said. [...] The test ... would cost $200 once it could be operated at scale.

The U.S. government has canceled a proposed $900 million project to study in unprecedented detail the afterglow of the Big Bang, the cosmic microwave background (CMB) radiation. Science magazine: Known as CMB-S4, the project envisioned new arrays of ultrasensitive microwave telescopes at the South Pole and in Chile's Atacama Desert. Their goal: to detect patterns in the ancient light that would prove the newborn universe expanded in an exponential growth spurt called cosmic inflation.

The project, which could have delivered smoking gun evidence for a key theory in cosmology, was supposed to be a joint venture between the National Science Foundation (NSF) and the Department of Energy (DOE). However, yesterday, the agencies sent an unsigned statement to the leaders of the collaboration saying the project is off. "DOE and NSF have jointly decided that they can no longer support the CMB-S4 Project," it reads.

An anonymous reader shares a report: This week has seen the shortest days of the year so far. According to data from the U.S. Naval Observatory and the International Earth Rotation and Reference Systems Service, Tuesday's rotation was about 1.34 milliseconds less than 24 hours. More quick spins are expected this week, later this month and in early August, according to predictions from the website Time and Date.

This isn't completely out of the ordinary: Our world's spins have been faster than usual lately. The average day has mostly shortened over the past decade, and within the past five years or so, the full rotation has clocked in at a hair less than 24 hours more often than not. Factors driving the change include movements at Earth's core, atmospheric changes and the moon's position.

But long-term trends do not suggest that the days will shorten in perpetuity. In fact, it is just the opposite. For many millenniums, the days have been growing longer. A Tyrannosaurus rex that lived 70 million years ago would have experienced an average daily rotation of about 23 1/2 hours, studies have found.

Four years of research following the 2021 western North American heat wave has revealed both the meteorological conditions that fuel extreme temperatures and evidence that heat has physical limits. The 2021 event "shocked everyone, including specialists working on the subject. People were completely stunned," said Robin Noyelle, a postdoctoral researcher in climate science at ETH Zurich.

Scientists now focus on temperature departures from local averages rather than absolute readings. The most anomalously warm temperature was recorded in Antarctica, where temperatures rose 39C above average in March 2022. North Pole temperatures surged 20C higher than normal in February, reaching the melting point in winter.

Research has identified five key factors that enable extreme heat: cloudless skies, high pressure, dark surfaces, lower altitudes, and lack of water. "Basically all of these conditions are met in Death Valley, but not in many other places in the world," said climate scientist Friederike Otto. Scientists insist that there are heat limits, though these upper bounds will rise with global warming, they caution.

A new study found that psilocybin treatment significantly delayed cellular aging, extending human cell lifespan by over 50% and increasing survival in aged mice by 30%. The compound appeared to achieve these effects by reducing oxidative stress, preserving telomeres, and improving DNA repair. Neuroscience News reports: A newly published study in Nature Partner Journals' Aging demonstrates that psilocin, a byproduct of consuming psilocybin, the active ingredient in psychedelic mushrooms, extended the cellular lifespan of human skin and lung cells by more than 50%. In parallel, researchers also conducted the first long-term in vivo study evaluating the systemic effects of psilocybin in aged mice of 19 months, or the equivalent of 60-65 human years. Results indicated that the mice that received an initial low dose of psilocybin of 5 mg, followed by a monthly high dose of 15 mg for 10 months, had a 30% increase in survival compared to mice that did not receive any. These mice also displayed healthier physical features, such as improved fur quality, fewer white hairs and hair regrowth.

While traditionally researched for its mental health benefits, this study suggests that psilocybin impacts multiple hallmarks of aging by reducing oxidative stress, improving DNA repair responses, and preserving telomere length. Telomeres are the structured ends of a chromosome, protecting it from damage that could lead to the formation of age-related diseases, such as cancer, neurodegeneration, or cardiovascular disease. These foundational processes influence human aging and the onset of these chronic diseases. The study concludes that psilocybin may have the potential to revolutionize anti-aging therapies and could be an impactful intervention in an aging population.

Senator Dick Durbin questioned a Texas-led effort to move Space Shuttle Discovery from the Smithsonian to Space Center Houston, describing it as an expensive "heist" costing an estimated $305 million, not the $85 million initially budgeted. "This is not a transfer. It's a heist," said Durbin during a budget markup hearing before the Senate Appropriations Committee. "A heist by Texas because they lost a competition 12 years ago." In April, Texas Senators John Cornyn and Ted Cruz introduced legislation to move the Space Shuttle Discovery from Virginia to Houston, which ultimately passed into law on July 4 as part of the "One Big Beautiful Bill." Ars Technica reports: "In the reconciliation bill, Texas entered $85 million to move the space shuttle from the National Air and Space Museum in Chantilly, Virginia, to Texas. Eighty-five million dollars sounds like a lot of money, but it is not nearly what's necessary for this to be accomplished," Durbin said. Citing research by NASA and the Smithsonian, Durbin said that the total was closer to $305 million and that did not include the estimated $178 million needed to build a facility to house and display Discovery once in Houston.

Furthermore, it was unclear if Congress even has the right to remove an artifact, let alone a space shuttle, from the Smithsonian's collection. The Washington, DC, institution, which serves as a trust instrumentality of the US, maintains that it owns Discovery. The paperwork signed by NASA in 2012 transferred "all rights, interest, title, and ownership" for the spacecraft to the Smithsonian. "This will be the first time ever in the history of the Smithsonian someone has taken one of their displays and forcibly taken possession of it. What are we doing here? They don't have the right in Texas to claim this," said Durbin. [...]

To be able to bring up his points at Thursday's hearing, Durbin introduced the "Houston, We Have a Problem" amendment to "prohibit the use of funds to transfer a decommissioned space shuttle from one location to another location." He then withdrew the amendment after having voiced his objections. "I think we're dealing with something called waste. Eighty-five million dollars worth of waste. I know that this is a controversial issue, and I know that there are other agencies, Smithsonian, NASA, and others that are interested in this issue; I'm going to withdraw this amendment, but I'm going to ask my colleagues be honest about it," said Durbin. "I hope that we think about this long and hard."

"I am glad to see this pass as part of the Senate's One Big Beautiful Bill and look forward to welcoming Discovery to Houston and righting this egregious wrong," Cornyn said in a statement. "Houston has long been the cornerstone of our nation's human space exploration program, and it's long overdue for Space City to receive the recognition it deserves by bringing Space Shuttle Discovery home."

An anonymous reader quotes a report from The Guardian: Automated surgery could be trialled on humans within a decade, say researchers, after an AI-trained robot armed with tools to cut, clip and grab soft tissue successfully removed pig gall bladders without human help. The robot surgeons were schooled on video footage of human medics conducting operations using organs taken from dead pigs. In an apparent research breakthrough, eight operations were conducted on pig organs with a 100% success rate by a team led by experts at Johns Hopkins University in Baltimore in the US. [...]

The technology allowing robots to handle complex soft tissues such as gallbladders, which release bile to aid digestion, is rooted in the same type of computerized neural networks that underpin widely used artificial intelligence tools such as Chat GPT or Google Gemini. The surgical robots were slightly slower than human doctors but they were less jerky and plotted shorter trajectories between tasks. The robots were also able to repeatedly correct mistakes as they went along, asked for different tools and adapted to anatomical variation, according to a peer-reviewed paper published in the journal Science Robotics. The authors from Johns Hopkins, Stanford and Columbia universities called it "a milestone toward clinical deployment of autonomous surgical systems." [...]

In the Johns Hopkins trial, the robots took just over five minutes to carry out the operation, which required 17 steps including cutting the gallbladder away from its connection to the liver, applying six clips in a specific order and removing the organ. The robots on average corrected course without any human help six times in each operation. "We were able to perform a surgical procedure with a really high level of autonomy," said Axel Krieger, assistant professor of mechanical engineering at Johns Hopkins. "In prior work, we were able to do some surgical tasks like suturing. What we've done here is really a full procedure. We have done this on eight gallbladders, where the robot was able to perform precisely the clipping and cutting step of gallbladder removal without any human intervention. "So I think it's a really big landmark study that such a difficult soft tissue surgery is possible to do autonomously." Currently, nearly all of the NHS's 70,000 annual robotic surgeries are human-controlled, but the UK plans to expand robot-assisted procedures to 90% within the next decade.

Senators from both parties are preparing to challenge the Trump administration's proposed 24% cut to NASA's budget, with the Senate appropriations committee advancing a $24.9 billion allocation that matches the agency's 2025 funding levels.

The bipartisan pushback directly contradicts President Donald Trump's budget request, which sought to slash NASA's science portfolio funding nearly in half and terminate dozens of operating and planned missions. "We rejected cuts that would have devastated NASA science by 47% and would have terminated 55 operating and planned missions," Senator Chris Van Hollen, a Democrat from Maryland, said.

The Senate bill allocates $7.3 billion for science programs. Senators also refused the administration's call to cancel the Space Launch System rocket and Orion crew capsule after their third flights, programs Trump's budget labeled "grossly expensive and delayed." "The bill reflects an ambitious approach to space exploration, prioritizing the agency's flagship program, Artemis, and rejecting premature termination of systems like SLS and Orion before commercial replacements are ready," said Senator Jerry Moran, a Kansas Republican.

Researchers have discovered 27 million tonnes of nanoplastics distributed across just the top layer of the temperate to subtropical North Atlantic Ocean, according to a study published in Nature. The team sampled water at three depths across 12 locations during a November 2020 research cruise, finding average concentrations of 18 milligrams per cubic meter of three plastic types: polyethylene terephthalate, polystyrene and polyvinylchloride.

These particles, smaller than one micrometer in diameter, behave differently from larger microplastics by remaining suspended throughout the water column rather than settling to the ocean floor. The nanoplastics can pass through cell walls and enter the marine food web through phytoplankton, said Tony Walker, an environmental scientist at Dalhousie University. The world's oceans contain an estimated 3 million tonnes of floating plastic pollution when excluding nanoplastics.

Researchers analyzing DNA from 1,313 ancient humans across Eurasia found that zoonotic pathogens first appeared in human populations around 6,500 years ago, coinciding with the transition from hunter-gatherer societies to livestock farming.

The genomic study, published in Nature, identified 5,486 DNA sequences from bacteria, viruses and parasites in blood remnants from bones and teeth spanning 37,000 years. Zoonotic pathogens were detected only in remains 6,500 years old or younger, peaking around 5,000 years ago when pastoralist communities from the Steppe region migrated into Europe with large herds. The plague bacterium Yersinia pestis first appears in the dataset between 5,700-5,300 years ago.

An anonymous reader quotes a report from Gizmodo: WIMPs (weakly interacting massive particles) are one of the most serious contenders for dark matter -- the "missing" mass supposedly constituting 85% of our universe. Given its elusiveness, dark matter tests the patience and creativity of physicists. But the latest results from LUX-ZEPLIN (LZ), the South Dakota-based detector, may have brought scientists a small step closer to catching WIMPs in action. In a recent Physical Review Letters paper, scientists analyzed 280 days' worth of data from LUX-ZEPLIN, reporting the tightest ever upper limit on the interaction strength of WIMPs. The result -- a near fivefold improvement -- demonstrates how physicists are increasingly getting better at circumventing the problem that dark matter is, well, dark; the elusive stuff evades any detection method that depends on materials interacting with visible light or other types of radiation.

The LUX-ZEPLIN experiment, located one mile underground in a decommissioned South Dakota gold mine, employs nearly 15,000 pounds (7 tons) of liquid xenon. The chemical element's high atomic mass and density make it potentially easier for scientists to detect any unknown particles that may pass through the detector. Also, liquid xenon is transparent, preventing any unwanted noise -- usually arising from radioactive matter around the detector -- from spoiling an experiment. "These results firmly establish that LZ is the world's most sensitive search for dark matter heavier than 10 GeV, that's about 10 times heavier than a proton," explained Scott Haselschwart, a physicist at the University of Michigan and LZ physics coordinator, in an email to Gizmodo. "To put our result in perspective: we have ruled out dark matter that would interact only once in a single kilogram of xenon every four millennia!" "LZ is the most sensitive search for WIMP dark matter to date, but we still have another two years of data to collect," Haselschwart said. "This means that a discovery of dark matter in LZ could come anytime now. We are truly looking for dark matter where no one has ever looked before and that is extremely exciting!"

An anonymous reader quotes a report from the Associated Press: Filmmaker Peter Jackson owns one of the largest private collections of bones of an extinct New Zealand bird called the moa. His fascination with the flightless ostrich-like bird has led to an unusual partnership with a biotech company known for its grand and controversial plans to bring back lost species. On Tuesday, Colossal Biosciences announced an effort to genetically engineer living birds to resemble the extinct South Island giant moa -- which once stood 12 feet (3.6 meters) tall -- with $15 million in funding from Jackson and his partner Fran Walsh. The collaboration also includes the New Zealand-based Ngai Tahu Research Centre. "The movies are my day job, and the moa are my fun thing I do," said Jackson. "Every New Zealand schoolchild has a fascination with the moa."

The moa had roamed New Zealand for 4,000 years until they became extinct around 600 years ago, mainly because of overhunting. A large skeleton brought to England in the 19th century, now on display at the Yorkshire Museum, prompted international interest in the long-necked bird. Unlike Colossal's work with dire wolves, the moa project is in very early stages. It started with a phone call about two years ago after Jackson heard about the company's efforts to "de-extinct" -- or create genetically similar animals to -- species like the woolly mammoth and the dire wolf. Then Jackson put Colossal in touch with experts he'd met through his own moa bone-collecting. At that point, he'd amassed between 300 and 400 bones, he said.

In New Zealand, it's legal to buy and sell moa bones found on private lands, but not on public conservation areas -- nor to export them. The first stage of the moa project will be to identify well-preserved bones from which it may be possible to extract DNA, said Colossal's chief scientist Beth Shapiro. Those DNA sequences will be compared to genomes of living bird species, including the ground-dwelling tinamou and emu, "to figure out what it is that made the moa unique compared to other birds," she said. [...] The direction of the project will be shaped by Mori scholars at the University of Canterbury's Ngi Tahu Research Centre. Ngi Tahu archaeologist Kyle Davis, an expert in moa bones, said the work has "really reinvigorated the interest in examining our own traditions and mythology."

alternative_right shares a report from Phys.org: Researchers at Princeton University, Boston University and other institutes used machine learning to predict the strategic decisions of humans in various games. Their paper, published in Nature Human Behavior, shows that a deep neural network trained on human decisions could predict the strategic choices of players with high levels of accuracy. [...] Essentially, the team suggests that people behave more rationally while playing games that they perceive as easier. In contrast, when they are playing more complex games, people's choices could be influenced by various other factors, thus the "noise" affecting their behavior would increase.

As part of their future studies, the researchers would also like to shed more light on what makes a game "complex" or "easy." This could be achieved using the context-dependent noise parameter that they integrated into their model as a signature of "perceived difficulty." "Our analysis provides a robust model comparison across a wide range of candidate models of decision-making," said [Jian-Qiao Zhu, first author of the paper]. "We now have strong evidence that introducing context-dependence into the quantal response model significantly improves its ability to capture human strategic behavior. More specifically, we identified key factors in the game matrix that shape game complexity: considerations of efficiency, the arithmetic difficulty of computing payoff differences, and the depth of reasoning required to arrive at a rational solution."

The findings gathered as part of this recent study also highlight the "lightness" with which many people approach strategic decisions, which could make them vulnerable to parties looking to sway them towards making irrational decisions. Once they gather more insight into what factors make games and decision-making scenarios more challenging for people, Zhu and his colleagues hope to start devising new behavioral science interventions aimed at prompting people to make more rational decisions.

An anonymous reader quotes a report from The Guardian: The herbicide ingredient used to replace glyphosate in Roundup and other weedkiller products can kill gut bacteria and damage organs in multiple ways, new research shows. The ingredient, diquat, is widely employed in the US as a weedkiller in vineyards and orchards, and is increasingly sprayed elsewhere as the use of controversial herbicide substances such as glyphosate and paraquat drops in the US. But the new piece of data suggests diquat is more toxic than glyphosate, and the substance is banned over its risks in the UK, EU, China and many other countries. Still, the EPA has resisted calls for a ban, and Roundup formulas with the ingredient hit the shelves last year. [...]

Diquat is also thought to be a neurotoxin, carcinogen and linked to Parkinson's disease. An October analysis of EPA data by the Friends of the Earth non-profit found it is about 200 times more toxic than glyphosate in terms of chronic exposure. [...] The new review of scientific literature in part focuses on the multiple ways in which diquat damages organs and gut bacteria, including by reducing the level of proteins that are key pieces of the gut lining. The weakening can allow toxins and pathogens to move from the stomach into the bloodstream, and trigger inflammation in the intestines and throughout the body. Meanwhile, diquat can inhibit the production of beneficial bacteria that maintain the gut lining. Damage to the lining also inhibits the absorption of nutrients and energy metabolism, the authors said.

The research further scrutinizes how the substance harms the kidneys, lungs and liver. Diquat "causes irreversible structural and functional damage to the kidneys" because it can destroy kidney cells' membranes and interfere with cell signals. The effects on the liver are similar, and the ingredient causes the production of proteins that inflame the organ. Meanwhile, it seems to attack the lungs by triggering inflammation that damages the organ's tissue. More broadly, the inflammation caused by diquat may cause multiple organ dysfunction syndrome, a scenario in which organ systems begin to fail. The authors note that many of the studies are on rodents and more research on low, long-term exposure is needed. The report notes that the EPA is not reviewing the chemical, "and even non-profits that push for tighter pesticide regulations have largely focused their attention elsewhere."

"[T]hat was in part because U.S. pesticide regulations are so weak that advocates are tied up with battles over ingredients like glyphosate, paraquat and chlorpyrifos -- substances that are banned elsewhere but still widely used here. Diquat is 'overshadowed' by those ingredients."

A team of U.S. and German researchers analyzed over 15 million biomedical papers and found that AI-generated content has subtly infiltrated academic writing, with telltale stylistic shifts -- such as a rise in flowery verbs and adjectives. "Their investigation revealed that since the emergence of LLMs there has been a corresponding increase in the frequency of certain stylist word choices within the academic literature," reports Phys.Org. "These data suggest that at least 13.5% of the papers published in 2024 were written with some amount of LLM processing." From the report: The researchers modeled their investigation on prior COVID-19 public-health research, which was able to infer COVID-19's impact on mortality by comparing excess deaths before and after the pandemic. By applying the same before-and-after approach, the new study analyzed patterns of excess word use prior to the emergence of LLMs and after. The researchers found that after the release of LLMs, there was a significant shift away from the excess use of "content words" to an excess use of "stylistic and flowery" word choices, such as "showcasing," "pivotal," and "grappling."

By manually assigning parts of speech to each excess word, the authors determined that before 2024, 79.2% of excess word choices were nouns. During 2024 there was a clearly identifiable shift. 66% of excess word choices were verbs and 14% were adjectives. The team also identified notable differences in LLM usage between research fields, countries, and venues. The findings have been published in the journal Science Advances.

Springer Nature published a $169 machine learning textbook in April containing citations that appear to be largely fabricated, according to an investigation by Retraction Watch. The site checked 18 of the 46 citations in "Mastering Machine Learning: From Basics to Advanced" by Govindakumar Madhavan and found two-thirds either did not exist or contained substantial errors.

Three researchers contacted by Retraction Watch confirmed their supposedly authored works were fake or incorrectly cited. Yehuda Dar of Ben-Gurion University said a paper cited as appearing in IEEE Signal Processing Magazine was actually an unpublished arXiv preprint. Aaron Courville of Universite de Montreal confirmed he was cited for sections of his "Deep Learning" book that "doesn't seem to exist."

The pattern of nonexistent citations matches known hallmarks of large language model-generated text. Madhavan did not answer whether he used AI to generate the book's content. The book contains no AI disclosure despite Springer Nature policies requiring authors to declare AI use beyond basic copy editing.

"Citizen scientists have successfully located thousands of previously unknown pairs of 'eclipsing binary' stars," reports the Washington Post, citing a recent announcement from NASA. The ongoing initiative helps space researchers hunt for "eclipsing binary" stars, a rare phenomenon in which two stars orbit one another, periodically blocking each other's light. These star pairs offer important data to astrophysicists, who consider the many measurable properties of eclipsing binaries — and the information they bear about the history of star formation and destruction — as a foundation of the field...

The citizen science project in question, the Eclipsing Binary Patrol, validates images from NASA's Transiting Exoplanet Survey Satellite (TESS) mission. The satellite, launched in 2018, is "exceptionally capable at detecting varying stars," the researchers write in a preprint paper describing the initiative. The researchers used machine learning to identify about 1.2 million potential eclipsing star pairs. Citizen scientists then validated a subset of about 60,000... manually inspecting hundreds of thousands of images of eclipse-like events and weeding out actual binaries from images that tricked the algorithm. "Thankfully," the researchers write, "to the rescue come volunteers from all walks of life that boost the capacity of bandwidth-limited professional astronomers many-fold and help tackle the ever-increasing volume of publicly available astronomical data."
Universe Today describes how they limited the dataset to only stars with a magnitude brighter than 15, then used a Python tool to generate a massive dataset of millions of light curves... The outcome of all the work resulted in the identification of 10,001 eclipsing binary systems. 7,936 of them are new to science, while the other 2,065 were previously known, but the study provided updated, more accurate, parameters for their periods, as TESS' dataset provided better insight. There were also some particularly interesting systems that could hold new discoveries, including several that had variable eclipse timings, and plenty that might have a third star, and some that show a significant dynamic between the star being orbited and the one doing the orbiting.

All of those systems await further research, but there's another, unspoken factor at play in this data — exoplanets. TESS was originally designed as an exoplanet hunter, and this kind of large scale AI/human collaboration of lightcurve analysis is exactly the kind of work that could potentially produce even more accurate exoplanet catalogues, as evidenced by some of the work already done in this paper. That seems to be the next step for this dataset, with Dr. Kostov telling an interviewer "I can't wait to search them for exoplanets!" Given the data has already been collected, and the team has already been assembled, it's very likely he'll get his chance soon.

Google DeepMind's chief business officer says Alphabet's drug-discovery company Isomorphic Labs "is preparing to launch human trials of AI-designed drugs," according to a report in Fortune, "pairing cutting-edge AI with pharma veterans to design medicines faster, cheaper, and more accurately." "There are people sitting in our office in King's Cross, London, working, and collaborating with AI to design drugs for cancer," said Colin Murdoch [DeepMind's chief business officer and president of Isomorphic Labs]. "That's happening right now."

After years in development, Murdoch says human clinical trials for Isomorphic's AI-assisted drugs are finally in sight. "The next big milestone is actually going out to clinical trials, starting to put these things into human beings," he said. "We're staffing up now. We're getting very close."

The company, which was spun out of DeepMind in 2021, was born from one of DeepMind's most celebrated breakthroughs, AlphaFold, an AI system capable of predicting protein structures with a high level of accuracy. Interactions of AlphaFold progressed from being able to accurately predict individual protein structures to modeling how proteins interact with other molecules like DNA and drugs. These leaps made it far more useful for drug discovery, helping researchers design medicines faster and more precisely, turning the tool into a launchpad for a much larger ambition... In 2024, the same year it released AlphaFold 3, Isomorphic signed major research collaborations with pharma companies Novartis and Eli Lilly. A year later, in April 2025, Isomorphic Labs raised $600 million in its first-ever external funding round, led by Thrive Capital. The deals are part of Isomorphic's plan to build a "world-class drug design engine..."

Today, pharma companies often spend millions attempting to bring a single drug to market, sometimes with just a 10% chance of success once trials begin. Murdoch believes Isomorphic's tech could radically improve those odds. "We're trying to do all these things: speed them up, reduce the cost, but also really improve the chance that we can be successful," he says. He wants to harness AlphaFold's technology to get to a point where researchers have 100% conviction that the drugs they are developing are going to work in human trials. "One day we hope to be able to say — well, here's a disease, and then click a button and out pops the design for a drug to address that disease," Murdoch said. "All powered by these amazing AI tools."