A newly founded startup called GRU Space is taking deposits of up to $1 million to eventually build inflatable hotels on the Moon. The bet is that space needs destinations, not just rockets, even if the first customers are essentially early adopters of sci-fi optimism. Ars Technica reports: It sounds crazy, doesn't it? After all, GRU Space had, as of late December when I spoke to founder Skyler Chan, a single full-time employee aside from himself. And Chan, in fact, only recently graduated from the University of California, Berkeley. [...] The GRU in the company's name, by the way, stands for Galactic Resource Utilization. The long-term vision is to derive resources from the Moon, Mars, asteroids, and beyond to fuel human expansion into space.

If all that sounds audacious and unrealistic, well, it kind of is. But it is not without foundation. GRU Space has already received seed funding from Y Combinator, and it will go through the organization's three-month program early this year. This will help Chan refine his company's product and give him more options to raise money. Regarding his vision, you can read GRU Space's white paper here.

Presently, the company plans to fly its initial "mission" in 2029 as a 10-kg payload on a commercial lunar lander, demonstrating an inflatable structure capability and converting lunar regolith into Moon bricks using geopolymers. With its second mission, the company plans to launch a larger inflatable structure into a "lunar pit" to test a scaled-up version of its resource development capabilities.

The first hotel, an inflatable structure, would be launched in 2032 and would be capable of supporting up to four guests at a time. The next iteration beyond this would be the fancier structure, built from Moon bricks, in the style of the Palace of the Fine Arts. "SpaceX is building the FedEx to get us there, right?" Chan said. "But there has to be a destination worthy to stay in. Obviously, there is all kinds of debate around this, and what the future is going to be like. But our conviction is that the fundamental problem we have to solve, to advance humans toward the Moon and Mars, is off-world habitation. We can't keep everyone living on that first ship that sailed to North America, right? We have to build the roads and structures and offices that we live in today."

Doctors say they have achieved the previously impossible -- restoring sight and preventing blindness in people with a rare but dangerous eye conditon called hypotony. From a report: Moorfields hospital in London is the world's first dedicated clinic for the disorder and seven out of eight patients given the pioneering treatment have responded to the therapy, a pilot study shows. One of them -- the first-ever -- is Nicki Guy, 47, who is sharing her story exclusively with the BBC.

She says the results are incredible: "It's life-changing. It's given me everything back. I can see my child grow up. "I've gone from counting fingers and everything being really blurry to being able to see." Currently, she can see and read most lines of letters on an eye test chart. She is one line away from what is legally required for driving - a massive change from being partially sighted, using a magnifying glass for anything close up and having to navigate around the house and outside largely using memory.

"If my vision stays like this for the rest of my life it would be absolutely brilliant. I may not ever be able to drive again but I'll take that!" she says. With hypotony, pressure within the eyeball becomes dangerously low, leading it to cave in on itself.

A major new review by the Cochrane collaboration -- an independent network of researchers -- evaluated 73 randomized controlled trials involving about 5,000 people with depression and found that exercise matched the effectiveness of both pharmacological treatments and psychological therapies.

The biological mechanisms overlap considerably with antidepressants. "Exercise can help improve neurotransmitter function, like serotonin as well as dopamine and endorphins," said Dr. Stephen Mateka, medical director of psychiatry at Inspira Health. Dr. Nicholas Fabiano of the University of Ottawa added that exercise triggers the release of brain-derived neurotrophic factor, or BDNF, which he calls "Miracle-Gro for the brain."

Exercise has been adopted as a first-line treatment in depression guidelines globally, though Fabiano noted it remains underutilized. The meta-analysis found that combining aerobic exercise and resistance training appeared more effective than aerobic exercise alone, and that 13 to 36 workouts led to improvements in depressive symptoms. Light to moderate exercise proved as beneficial as vigorous workouts, at least initially.

"The clock is ticking" on the Hubble Space Telescope, writes the space news site Daily Galaxy, citing estimates from the unofficial "Hubble Reentry Tracker" site (which uses orbital data from the site space-track.org, created by tech integrator SAIC): While Hubble was initially launched into low Earth orbit at an altitude of around 360 miles, it has since descended to approximately 326 miles, and it continues to fall... "The solar flux levels are currently longer in duration and more elevated than previously anticipated, resulting in an earlier reentry forecast for the Hubble Space Telescope if no reboost mission is conducted," Hubble Reentry Trackersays the Hubble Reentry Tracker... ["Hubble has been reboosted three times in its history," the site points out, "all by servicing missions using the Space Shuttle."]

NASA partnered with SpaceX in 2022 to explore the feasibility of raising Hubble to its original altitude of 373 miles. Such an adjustment would have bought Hubble a few more years in orbit. However, the future of this plan remains uncertain, as NASA has not made any official announcements to move forward with it... Solar flux levels, which determine atmospheric drag, have increased in recent years, accelerating the telescope's decline. This change in solar behavior means that the possibility of Hubble reentering Earth's atmosphere in the next five to six years is quite high if no corrective action is taken. ["But it is difficult to estimate this value due to the variability of future solar flux," the site cautions. "In the best case, Hubble may not reenter for 15 more years, around 2040. In the worst case, it could reenter in 4 years..."] Once Hubble reaches an altitude of 248 miles, it is expected that it will have less than a year before reentry...

While Hubble's end may be near, there is a promising new project on the horizon: Lazuli, a privately-funded space telescope funded by former Google CEO Eric Schmidt. Lazuli aims to become the first privately-funded space telescope, and it could be the successor Hubble enthusiasts have been hoping for. Schmidt Sciences, the organization behind the telescope, plans to launch Lazuli by 2028, providing a more modern alternative to Hubble with a larger mirror and enhanced capabilities. The telescope's proposed design includes a 94-inch-wide mirror, which is a significant upgrade from Hubble's 94.5-inch mirror, and will feature updated instruments to capture more detailed data than ever before.

An R&D lab under America's Energy Department annnounced this week that "Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges."

Phys.org publishes the announcement from Sandia National Lab: In a paper published in Nature Machine Intelligence, Sandia National Laboratories computational neuroscientists Brad Theilman and Brad Aimone describe a novel algorithm that enables neuromorphic hardware to tackle partial differential equations, or PDEs — the mathematical foundation for modeling phenomena such as fluid dynamics, electromagnetic fields and structural mechanics. The findings show that neuromorphic computing can not only handle these equations, but do so with remarkable efficiency. The work could pave the way for the world's first neuromorphic supercomputer, potentially revolutionizing energy-efficient computing for national security applications and beyond...

"We're just starting to have computational systems that can exhibit intelligent-like behavior. But they look nothing like the brain, and the amount of resources that they require is ridiculous, frankly," Theilman said.For decades, experts have believed that neuromorphic computers were best suited for tasks like recognizing patterns or accelerating artificial neural networks. These systems weren't expected to excel at solving rigorous mathematical problems like PDEs, which are typically tackled by traditional supercomputers. But for Aimone and Theilman, the results weren't surprising. The researchers believe the brain itself performs complex computations constantly, even if we don't consciously realize it. "Pick any sort of motor control task — like hitting a tennis ball or swinging a bat at a baseball," Aimone said. "These are very sophisticated computations. They are exascale-level problems that our brains are capable of doing very cheaply..."

Their research also raises intriguing questions about the nature of intelligence and computation. The algorithm developed by Theilman and Aimone retains strong similarities to the structure and dynamics of cortical networks in the brain. "We based our circuit on a relatively well-known model in the computational neuroscience world," Theilman said. "We've shown the model has a natural but non-obvious link to PDEs, and that link hasn't been made until now — 12 years after the model was introduced." The researchers believe that neuromorphic computing could help bridge the gap between neuroscience and applied mathematics, offering new insights into how the brain processes information. "Diseases of the brain could be diseases of computation," Aimone said. "But we don't have a solid grasp on how the brain performs computations yet." If their hunch is correct, neuromorphic computing could offer clues to better understand and treat neurological conditions like Alzheimer's and Parkinson's.

It will be the first medical evacuation from the International space station in its 25-year history. The Guardian reports: An astronaut in the orbital laboratory reportedly fell ill with a "serious" but undisclosed issue. Nasa also had to cancel its first spacewalk of the year... The agency did not identify the astronaut or the medical problem, citing patient privacy. "Because the astronaut is absolutely stable, this is not an emergent evacuation," [chief health and medical officer Dr. James] Polk said. "We're not immediately disembarking and getting the astronaut down, but it leaves that lingering risk and lingering question as to what that diagnosis is, and that means there is some lingering risk for that astronaut onboard."
"SpaceX says it's Dragon spacecraft at the International Space Station is ready to return its four Crew-11 astronauts home in an unprecedented medical evacuation on Jan. 14 and 15," reports Space.com: The SpaceX statement came on the heels of NASA's announcement that the Crew-11 astronauts were scheduled to undock from the space station on Jan. 14 and splashdown off the coast of California early on Jan. 15. The Crew-11 Dragon spacecraft will return NASA astronauts Zena Cardman and Mike Fincke to Earth alongside Japanese astronaut Kimiya Yui and Russian cosmonaut Oleg Platanov... NASA officials opted for a "controlled medical evacuation" in order to provide the astronaut better treatment on the ground, NASA chief Jared Isaacman has said...

Dr. James Polk, NASA's chief medical officer, has said the medical issue is not an injury to the astronaut afflicted, but rather something related to the prolonged exposure to weighlessness by astronauts living and working on the International Space Station. "It's mostly having a medical issue in the difficult areas of microgravity and the suite of hardware that we operate in," Polk said.

Scientists are putting Einstein's claim that the speed of light is constant to the test. While researchers found no evidence that light's speed changes with energy, this null result dramatically tightens the constraints on quantum-gravity theories that predict even the tiniest violations. ScienceDaily reports: Special relativity rests on the principle that the laws of physics remain the same for all observers, regardless of how they are moving relative to one another. This idea is known as Lorentz invariance. Over time, Lorentz invariance became a foundational assumption in modern physics, especially within quantum theory. [...] One prediction shared by several Lorentz-invariance-violating quantum gravity models is that the speed of light may depend slightly on a photon's energy. Any such effect would have to be tiny to match existing experimental limits. However, it could become detectable at the highest photon energies, specifically in very-high-energy gamma rays.

A research team led by former UAB student Merce Guerrero and current IEEC PhD student at the UAB Anna Campoy-Ordaz set out to test this idea using astrophysical observations. The team also included Robertus Potting from the University of Algarve and Markus Gaug, a lecturer in the Department of Physics at the UAB who is also affiliated with the IEEC. Their approach relies on the vast distances light travels across the universe. If photons of different energies are emitted at the same time from a distant source, even minuscule differences in their speeds could build up into measurable delays by the time they reach Earth.

Using a new statistical technique, the researchers combined existing measurements of very-high-energy gamma rays to examine several Lorentz-invariance-violating parameters favored by theorists within the Standard Model Extension (SME). The goal was ambitious. They hoped to find evidence that Einstein's assumptions might break down under extreme conditions. Once again, Einstein's predictions held firm. The study did not detect any violation of Lorentz invariance. Even so, the results are significant. The new analysis improves previous limits by an order of magnitude, sharply narrowing where new physics could be hiding.

Microbiology had its golden age in the late nineteenth century, when researchers identified the bacterial causes of tuberculosis, cholera, typhoid, and a dozen other diseases in rapid succession. Antibiotics had theirs in the mid-twentieth century. Both booms eventually slowed. Vaccine development, by contrast, appears to be speeding up -- and the most productive era may still lie ahead, Works in Progress writes in a story.

In the first half of the 2020s alone, researchers delivered the first effective vaccines against four different diseases: Covid-19, malaria, RSV and chikungunya. No previous decade matched that output. The acceleration rests on infrastructure that took two centuries to assemble. Edward Jenner's 1796 smallpox vaccine was a lucky accident he didn't understand. Louis Pasteur needed ninety years to turn that luck into systematic methods -- attenuation and inactivation -- that could be applied to other diseases. Generations of scientists then built the supporting machinery: Petri dishes for bacterial culture, techniques to keep animal cells alive outside the body, bioreactors for industrial production, sterilization and cold-chain logistics.

Those tools have now compounded. Cryo-electron microscopy reveals viral proteins atom by atom, a capability that directly enabled the RSV vaccine after earlier attempts failed. Genome sequencing costs collapsed from roughly $100 million per human genome in 2001 to under $1,000 by 2014, according to data from the National Human Genome Research Institute. The mRNA platform, refined through work by Katalin Kariko, Drew Weissman, and others, allows vaccines to be redesigned in weeks rather than years. The trajectory suggests more breakthroughs are possible. Whether they arrive depends on continued investment, however.

alternative_right shares a report from ScienceAlert: At the Experimental Advanced Superconducting Tokamak (EAST), physicists successfully exceeded what is known as the Greenwald limit, a practical density boundary beyond which plasmas tend to violently destabilize, often damaging reactor components. For a long time, the Greenwald limit was accepted as a given and incorporated into fusion reactor engineering. The new work shows that precise control over how the plasma is created and interacts with the reactor walls can push it beyond this limit into what physicists call a 'density-free' regime.

[...] A team led by physicists Ping Zhu of Huazhong University of Science and Technology and Ning Yan of the Chinese Academy of Sciences designed an experiment to take this theory further, based on a simple premise: that the density limit is strongly influenced by the initial plasma-wall interactions as the reactor starts up. In their experiment, the researchers wanted to see if they could deliberately steer the outcome of this interaction. They carefully controlled the pressure of the fuel gas during tokamak startup and added a burst of heating called electron cyclotron resonance heating.

These changes altered how the plasma interacts with the tokamak walls through a cooler plasma boundary, which dramatically reduced the degree to which wall impurities entered the plasma. Under this regime, the researchers were able to reach densities up to about 65 percent higher than the tokamak's Greenwald limit. This doesn't mean that magnetically confined plasmas can now operate with no density limits whatsoever. However, it does show that the Greenwald limit is not a fundamental barrier and that tweaking operational processes could lead to more effective fusion reactors. The findings have been published in Science Advances.

Researchers at Stanford University have created a programmable synthetic "skin" that can independently change color and texture, "a feat previously only available within the animal kingdom," reports the Register. From the report: The technique employs electron beams to write patterns and add optical layers that create color effects. When exposed to water, the film swells to reveal texture and colors independently, depending on which side of the material is exposed, according to a paper published in the scientific journal Nature this week. In an accompanying article, University of Stuttgart's Benjamin Renz and Na Liu said the researchers' "most striking achievement was a photonic skin in which color and texture could be independently controlled, mirroring the separate regulation... in octopuses."

The research team used the polymer PEDOT:PSS, which can swell in water, as the basis for their material. Its reaction to water can be controlled by irradiating it with electrons, creating textures and patterns in the film. By adding thin layers of gold, the researchers turned surface texture into tunable optical effects. A single layer could be used to scatter light, giving the shiny metal a matte, textured appearance. To control color, a polymer film was sandwiched between two layers of gold, forming an optical cavity, which selectively reflects light.

An anonymous reader quotes a report from NPR: [I]t turns out that some genius dogs can learn a brand new word, like the name of an unfamiliar toy, by just overhearing brief interactions between two people. What's more, these "gifted" dogs can learn the name of a new toy even if they first hear this word when the toy is out of sight -- as long as their favorite human is looking at the spot where the toy is hidden. That's according to a new study in the journal Science. "What we found in this study is that the dogs are using social communication. They're using these social cues to understand what the owners are talking about," says cognitive scientist Shany Dror of Eotvos Lorand University and the University of Veterinary Medicine, Vienna. "This tells us that the ability to use social information is actually something that humans probably had before they had language," she says, "and language was kind of hitchhiking on these social abilities."

[...] "There's only a very small group of dogs that are able to learn this differentiation and then can learn that certain labels refer to specific objects," she says. "It's quite hard to train this and some dogs seem to just be able to do it." [...] To explore the various ways that these dogs are capable of learning new words, Dror and some colleagues conducted a study that involved two people interacting while their dog sat nearby and watched. One person would show the other a brand new toy and talk about it, with the toy's name embedded into sentences, such as "This is your armadillo. It has armadillo ears, little armadillo feet. It has a tail, like an armadillo tail." Even though none of this language was directed at the dogs, it turns out the super-learners registered the new toy's name and were later able to pick it out of a pile, at the owner's request.

To do this, the dogs had to go into a separate room where the pile was located, so the humans couldn't give them any hints. Dror says that as she watched the dogs on camera from the other room, she was "honestly surprised" because they seemed to have so much confidence. "Sometimes they just immediately went to the new toy, knowing what they're supposed to do," she says. "Their performance was really, really high." She and her colleagues wondered if what mattered was the dog being able to see the toy while its name was said aloud, even if the words weren't explicitly directed at the dog. So they did another experiment that created a delay between the dog seeing a new toy and hearing its name. The dogs got to see the unfamiliar toy and then the owner dropped the toy in a bucket, so it was out of sight. Then the owner would talk to the dog, and mention the toy's name, while glancing down at the bucket. While this was more difficult for dogs, overall they still could use this information to learn the name of the toy and later retrieve it when asked. "This shows us how flexible they are able to learn," says Dror. "They can use different mechanisms and learn under different conditions."

An anonymous reader shares a report: Prior to World War II the vast majority of telescopes built around the world were funded by wealthy people with an interest in the heavens above.

However, after the war, two significant developments in the mid-20th century caused the burden of funding large astronomical instruments to largely shift to the government and academic institutions. First, as mirrors became larger and larger to see deeper into the universe, their costs grew exponentially. And then, with the advent of spaceflight, the expense of space-based telescopes expanded even further.

But now the tide may be turning again.

On Wednesday evening, former Google CEO Eric Schmidt and his wife, Wendy, announced a major investment in not just one telescope project, but four. Each of these new telescopes brings a novel capability online; however, the most intriguing new instrument is a space-based telescope named Lazuli. This spacecraft, if successfully launched and deployed, would offer astronomers a more capable and modern version of the Hubble Space Telescope, which is now three decades old.

A billionaire with a keen interest in science and technology, Schmidt and his wife did not disclose the size of his investment in the four telescopes, which collectively will be known as the Schmidt Observatory System. However, it likely is worth half a billion dollars, at a minimum.

Astronomers using the Vera C. Rubin Observatory have discovered a record-setting asteroid, known as 2025 MN45, nearly half a mile wide and spinning once every 1.88 minutes -- the fastest known rotation for an object of its size. "This is now the fastest-spinning asteroid that we know of, larger than 500 meters," said Sarah Greenstreet, University of Washington astronomer and lead author of the study. The findings have been published in the The Astrophysical Journal Letters. GeekWire reports: 2025 MN45 is one of more than 2,100 solar system objects that were detected during the observatory's commissioning phase. Over time, the LSST Camera tracked variations in the light reflected by those objects. Greenstreet and her colleagues analyzed those variations to determine the size, distance, composition and rate of rotation for 76 asteroids, all but one of which are in the main asteroid belt between the orbits of Mars and Jupiter. (The other asteroid is a near-Earth object.)

The team found 16 "super-fast rotators" spinning at rates ranging between 13 minutes and 2.2 hours per revolution -- plus three "ultra-fast rotators," including 2025 MN45, that make a full revolution in less than five minutes. Greenstreet said 2025 MN45 appears to consist of solid rock, as opposed to the "rubble pile" material that most asteroids are thought to be made of. "We also believe that it's likely a collisionary fragment of a much larger parent body that, early in the solar system's history, was heated enough that the material internal to it melted and differentiated," Greenstreet said. She and her colleagues suggest that the primordial collision blasted 2025 MN45 from the dense core of the parent body and sent it whirling into space.

OpenAI has unveiled ChatGPT Health, a sandboxed health-focused mode that lets users connect medical records and wellness apps for more personalized guidance. The company makes sure to note that ChatGPT Health is "not intended for diagnosis or treatment." The Verge reports: The company is encouraging users to connect their personal medical records and wellness apps, such as Apple Health, Peloton, MyFitnessPal,Weight Watchers, and Function, "to get more personalized, grounded responses to their questions." It suggests connecting medical records so that ChatGPT can analyze lab results, visit summaries, and clinical history; MyFitnessPal and Weight Watchers for food guidance; Apple Health for health and fitness data, including movement, sleep, and activity patterns"; and Function for insights into lab tests.

On the medical records front, OpenAI says it's partnered with b.well, which will provide back-end integration for users to upload their medical records, since the company works with about 2.2 million providers. For now, ChatGPT Health requires users to sign up for a waitlist to request access, as it's starting with a beta group of early users, but the product will roll out gradually to all users regardless of subscription tier. [...]

In a blog post, OpenAI wrote that based on its "de-identified analysis of conversations," more than 230 million people around the world already ask ChatGPT questions related to health and wellness each week. OpenAI also said that over the past two years, it's worked with more than 260 physicians to provide feedback on model outputs more than 600,000 times over 30 areas of focus, to help shape the product's responses. "ChatGPT can help you understand recent test results, prepare for appointments with your doctor, get advice on how to approach your diet and workout routine, or understand the tradeoffs of different insurance options based on your healthcare patterns," OpenAI claims in the blog post.

sinij shares a news release from the Utah Department of Commerce: The state of Utah, through the Utah Department of Commerce's Office of Artificial Intelligence Policy, today announced a first-of-its-kind partnership with Doctronic, the AI-native health platform, to give patients with chronic conditions a faster, automated way to renew medications. This agreement marks the first state-approved program in the country that allows an AI system to legally participate in medical decision-making for prescription renewals, an emerging model that could reshape access to care and ultimately improve care outcomes. Politico provides additional context in its reporting: In data shared with Utah regulators, Doctronic compared its AI system with human clinicians across 500 urgent care cases. The results showed the AI's treatment plan matched the physicians' 99.2 percent of the time, according to the company. "The AI is actually better than doctors at doing this," said Dr. Adam Oskowitz, Doctronic co-founder and an associate professor of surgery at the University of California San Francisco. "When you go see a doctor, it's not going to do all the checks that the AI is doing."

Oskowitz said the AI is designed to err on the side of safety, automatically escalating cases to a physician if there's any uncertainty. Human doctors will also review the first 250 prescriptions issued in each medication class to validate the AI's performance. Once that threshold is met, subsequent renewals in that class will be handled autonomously. The company has also secured a one-of-a-kind malpractice insurance policy covering an AI system, which means the system is insured and held to the same level of responsibility as a doctor would be.

Doctronic also runs a nationwide telehealth practice that directs patients to doctors after an AI consultation. In Utah, patients who use the system will visit a webpage that verifies they are physically in the state. Then the system will pull the patient's prescription history and offer a list of medications eligible for renewal. The AI walks the patient through the same clinical questions a physician would ask to determine whether a refill is appropriate. If the system clears the renewal, the prescription is sent directly to a pharmacy. The program is limited to 190 commonly prescribed medications. Some medications -- including pain management and ADHD drugs as well as injectables -- are excluded for safety reasons.