An anonymous reader quotes a report from TechCrunch: One of Microsoft's latest AI models can accurately predict air quality, hurricanes, typhoons, and other weather-related phenomena, the company claims. In a paper published in the journal Nature and an accompanying blog post this week, Microsoft detailed Aurora, which the tech giant says can forecast atmospheric events with greater precision and speed than traditional meteorological approaches. Aurora, which has been trained on more than a million hours of data from satellites, radar and weather stations, simulations, and forecasts, can be fine-tuned with additional data to make predictions for particular weather events. AI weather models are nothing new. Google DeepMind has released a handful over the past several years, including WeatherNext, which the lab claims beats some of the world's best forecasting systems. Microsoft is positioning Aurora as one of the field's top performers -- and a potential boon for labs studying weather science. In experiments, Aurora predicted Typhoon Doksuri's landfall in the Philippines four days in advance of the actual event, beating some expert predictions, Microsoft says. The model also bested the National Hurricane Center in forecasting five-day tropical cyclone tracks for the 2022-2023 season, and successfully predicted the 2022 Iraq sandstorm. While Aurora required substantial computing infrastructure to train, Microsoft says the model is highly efficient to run. It generates forecasts in seconds compared to the hours traditional systems take using supercomputer hardware. Microsoft, which has made the source code and model weights publicly available, says that it's incorporating Aurora's AI modeling into its MSN Weather app via a specialized version of the model that produces hourly forecasts, including for clouds.

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In early 2025, U.S. solar power production jumped 44% compared to the previous year, driven by end-of-year construction to capture tax incentives and long-term cost advantages. "The bad news is that, in contrast to China, solar's growth hasn't been enough to offset rising demand," notes Ars Technica. "Instead, the US also saw significant growth in coal use, which rose by 23 percent compared to the year prior, after years of steady decline." From the report: Short-term fluctuations in demand are normal, generally driven by weather-induced demand for heating or cooling. Despite those changes, demand for electricity in the US has been largely flat for over a decade, largely thanks to gains in efficiency. But 2024 saw demand go up by nearly 3 percent, and the first quarter of 2025 saw another rise, this time of nearly 5 percent. It's a bit too early to say that we're seeing a shift to a period of rising demand, but one has been predicted for some time due to rising data center use and the increased electrification of transportation and appliances. Under those circumstances, the rest of the difference will be made up for with fossil fuels. Running counter to recent trends, the use of natural gas dropped during the first three months of 2025. This means that the use of coal rose nearly as quickly as demand, up by 23 percent compared to the same time period in 2024. Despite the rise in coal use, the fraction of carbon-free electricity held steady year over year, with wind/solar/hydro/nuclear accounting for 43 percent of all power put on the US grid. That occurred despite small drops in nuclear and hydro production.

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Kraken is launching tokenized versions of U.S. equities for 24/7 trading outside the U.S., giving global investors blockchain-based access to major companies like Apple and Tesla. Reuters reports: Tokenization refers to the process of issuing digital representations of publicly-traded securities. Instead of holding the securities directly, investors hold tokens that represent ownership of the securities. The tokens' launch outside the U.S. comes amid growing interest in blending traditional finance with blockchain infrastructure. While tokenized securities have yet to gain widespread adoption, proponents say they hold the potential to significantly reshape how people access and invest in financial markets. In a January opinion piece for the Washington Post, Robinhood CEO Vlad Tenev said tokenization could also allow retail investors to access private companies' stocks. Kraken's tokens, called xStocks, will be available in select markets outside the United States, it said, without naming the markets. The move was earlier reported by the Wall Street Journal. The offering is currently not available for U.S. customers.

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Longtime Slashdot reader sinij shares a press release from the White House, outlining a series of executive orders that overhaul the Nuclear Regulatory Commission and speed up deployment of new nuclear power reactions in the U.S.. From a report: The NRC is a 50-year-old, independent agency that regulates the nation's fleet of nuclear reactors. Trump's orders call for a "total and complete reform" of the agency, a senior White House official told reporters in a briefing. Under the new rules, the commission will be forced to decide on nuclear reactor licenses within 18 months. Trump said Friday the orders focus on small, advanced reactors that are viewed by many in the industry as the future. But the president also said his administration supports building large plants. "We're also talking about the big plants -- the very, very big, the biggest," Trump said. "We're going to be doing them also." When asked whether NRC reform will result in staff reductions, the White House official said "there will be turnover and changes in roles." "Total reduction in staff is undetermined at this point, but the executive orders do call for a substantial reorganization" of the agency, the official said. The orders, however, will not remove or replace any of the five commissioners who lead the body, according to the White House. Any reduction in staff at the NRC would come at time when the commission faces a heavy workload. The agency is currently reviewing whether two mothballed nuclear plants, Palisades in Michigan and Three Mile Island in Pennsylvania, should restart operations, a historic and unprecedented process. [...] Trump's orders also create a regulatory framework for the Departments of Energy and Defense to build nuclear reactors on federal land, the administration official said. "This allows for safe and reliable nuclear energy to power and operate critical defense facilities and AI data centers," the official told reporters. The NRC will not have a direct role, as the departments will use separate authorities under their control to authorize reactor construction for national security purposes, the official said. The president's orders also aim to jump start the mining of uranium in the U.S. and expand domestic uranium enrichment capacity, the official said. Trump's actions also aim to speed up reactor testing at the Department of Energy's national laboratories.

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An anonymous reader quotes a report from Jalopnik: With the gradual rise of semi-autonomous vehicles, there will likely be multiple cameras pointing back when you pull out a phone to take a photo or record video of a car. One reddit user found out earlier this month that car-mounted lidar sensors can damage a phone camera under certain circumstances. It was the technological equivalent of staring directly into the Sun. Their phone's camera was toast, but only because it was close-up and pointed directly at the lidar sensor. Reddit user u/Jeguetelli posted worrying footage of a brand new Volvo EX90 from his iPhone 16 Pro Max. Nothing was wrong with the crossover SUV. That was the problem. The lidar sensor mounted in a pod above the windshield shot out a laser barrage of near-infrared light into the camera. The damage was immediate and obvious, leaving behind a red, pink and purple constellation of fried pixels. You can tell the permanent damage was to that specific lens because the image returned to normal after zooming out to a different lens. Jeguetelli didn't seem too concerned about the incident because he had Apple Care. In a statement to The Drive, Volvo confirmed that bad things can happen. "It's generally advised to avoid pointing a camera directly at a lidar sensor," the Swedish manufacturer said. "The laser light emitted by the lidar can potentially damage the camera's sensor or affect its performance." "Using filters or protective covers on the camera lens can help reduce the impact of lidar exposure. Some cameras are designed with built-in protections against high-intensity light sources."

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Richard Speed writes via The Register: It was 30 years ago when the first public release of the Java programming language introduced the world to Write Once, Run Anywhere -- and showed devs something cuddlier than C and C++. Originally called "Oak," Java was designed in the early 1990s by James Gosling at Sun Microsystems. Initially aimed at digital devices, its focus soon shifted to another platform that was pretty new at the time -- the World Wide Web. The language, which has some similarities to C and C++, usually compiles to a bytecode that can, in theory, run on any Java Virtual Machine (JVM). The intention was to allow programmers to Write Once Run Anywhere (WORA) although subtle differences in JVM implementations meant that dream didn't always play out in reality. This reporter once worked with a witty colleague who described the system as Write Once Test Everywhere, as yet another unexpected wrinkle in a JVM caused their application to behave unpredictably. However, the language soon became wildly popular, rapidly becoming the backbone of many enterprises. [...] However, the platform's ubiquity has meant that alternatives exist to Oracle Java, and the language's popularity is undiminished by so-called "predatory licensing tactics." Over 30 years, Java has moved from an upstart new language to something enterprises have come to depend on. Yes, it may not have the shiny baubles demanded by the AI applications of today, but it continues to be the foundation for much of today's modern software development. A thriving ecosystem and a vast community of enthusiasts mean that Java remains more than relevant as it heads into its fourth decade.

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Google's new AI Mode for Search, which is rolling out to everyone in the U.S., has sparked outrage among publishers, who call it "the definition of theft" for using content without fair compensation and without offering a true opt-out option. Internal documents revealed by Bloomberg earlier this week suggest that Google considered giving publishers more control over how their content is used in AI-generated results but ultimately decided against it, prioritizing product functionality over publisher protections. News/Media Alliance slammed Google for "further depriving publishers of original content both traffic and revenue." Their full statement reads: "Links were the last redeeming quality of search that gave publishers traffic and revenue. Now Google just takes content by force and uses it with no return, the definition of theft. The DOJ remedies must address this to prevent continued domination of the internet by one company." 9to5Google's take: It's not hard to see why Google went the route that it did here. Giving publishers the ability to opt out of AI products while still benefiting from Search would ultimately make Google's flashy new tools useless if enough sites made the switch. It was very much a move in the interest of building a better product. Does that change anything regarding how Google's AI products in Search cause potential harm to the publishing industry? Nope. Google's tools continue to serve the company and its users (mostly) well, but as they continue to bleed publishers dry, those publishers are on the verge of vanishing or, arguably worse, turning to cheap and poorly produced content just to get enough views to survive. This is a problem Google needs to address, as it's making the internet as a whole worse for everyone.

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An anonymous reader quotes a report from Ars Technica, written by Nate Anderson: Don't worry about the "mission-driven not-for-profit" College Board -- it's drowning in cash. The US group, which administers the SAT and AP tests to college-bound students, paid its CEO $2.38 million in total compensation in 2023 (the most recent year data is available). The senior VP in charge of AP programs made $694,662 in total compensation, while the senior VP for Technology Strategy made $765,267 in total compensation. Given such eye-popping numbers, one would have expected the College Board's transition to digital exams to go smoothly, but it continues to have issues. Just last week, the group's AP Psychology exam was disrupted nationally when the required "Bluebook" testing app couldn't be accessed by many students. Because the College Board shifted to digital-only exams for 28 of its 36 AP courses beginning this year, no paper-based backup options were available. The only "solution" was to wait quietly in a freezing gymnasium, surrounded by a hundred other stressed-out students, to see if College Board could get its digital act together. [...] College Board issued a statement on the day of the AP Psych exam, copping to "an issue that prevented [students] from logging into the College Board's Bluebook testing application and beginning their exams at the assigned local start time." Stressing that "most students have had a successful testing experience, with more than 5 million exams being successfully submitted thus far," College Board nonetheless did "regret that their testing period was disrupted." It's not the first such disruption, though. [...] College Board also continues to have problems delivering digital testing at scale in a high-pressure environment. During the SAT exam sessions on March 8-9, 2025, more than 250,000 students sat for the test -- and some found that their tests were automatically submitted before the testing time ended. College Board blamed the problem on "an incorrectly configured security setting on Bluebook." The problem affected nearly 10,000 students, and several thousand more "may have lost some testing time if they were asked by their room monitor to reboot their devices during the test to fix and prevent the auto-submit error." College Board did "deeply and sincerely apologize to the students who were not able to complete their tests, or had their test time interrupted, for the difficulty and frustration this has caused them and their families." It offered refunds, plus a free future SAT testing voucher.

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Spain's grid operator has accused some large power plants of not doing their job to help regulate the country's electricity system in the moments before last month's catastrophic blackout across the Iberian peninsula. From a report: Beatriz Corredor, chair of grid operator Red Electrica's parent company, said power plants fell short in controlling the voltage of the electricity system. However, the heads of Spain's biggest plant owners linked the blackout to a lack of grid investment and insufficient efforts to boost electricity demand. The public blame game over the outage is intensifying as more than three weeks after 60 million people were left without power, Spanish government investigators insisted they needed more time to establish the root cause.

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Out of 186 countries, only Guyana produces enough food to self-sufficiently feed all its citizens without foreign imports, according to new research. From a report: The study, published in Nature Food, investigated how well each country could feed their populations in seven food groups: fruits, vegetables, dairy, fish, meat, plant-based protein and starchy staples. Worldwide, the study found that 65% of countries were overproducing meat and dairy, compared to their own population's dietary needs. It also found that Guyana, located in South America, was the only country that could boast total self-sufficiency, while China and Vietnam were close behind, being able to produce enough food in six out of seven food groups. Just one in seven of the tested countries were judged self-sufficient in five or more categories.

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Several romance novelists have accidentally left AI writing prompts embedded in their published books, exposing their use of chatbots, 404Media reports. Readers discovered passages like "Here's an enhanced version of your passage, making Elena more relatable" in K.C. Crowne's "Dark Obsession," for instance, and similar AI-generated instructions in works by Lena McDonald and Rania Faris.

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Rice plants can inherit tolerance to cold without changes to their genomes, according to a decade-long study carried out by researchers in China. From a report: The work, published in Cell this week, strengthens the evidence for a form of evolution in which environmental pressures induce heritable changes that do not alter an organism's DNA. The study conducted experiments that demonstrate, for the first time, the mechanism for these changes -- 'epigenetic' tweaks to chemical markers on the plant's DNA that don't actually tinker with the sequences themselves. "What they're showing is extremely convincing; I would say that it's a landmark in the field," says Leandro Quadrana, a plant geneticist at the French National Centre for Scientific Research in Paris-Saclay. Michael Skinner, who studies epigenetic inheritance at Washington State University in Pullman, says the study adds to the growing body of evidence challenging the prevailing view of evolution that the only way that adaptations emerge is through gradual natural selection of randomly arising DNA mutations. This study shows that the environment isn't just a passive actor in evolution, but a selective force inducing a targeted change.

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Harvard University's Galileo Project is using AI to automate the search for unidentified anomalous phenomena, marking a significant shift in how academics approach what was once considered fringe research. The project operates a Massachusetts observatory equipped with infrared cameras, acoustic sensors, and radio-frequency analyzers that continuously scan the sky for unusual objects. Researchers Laura Domine and Richard Cloete are training machine learning algorithms to recognize all normal aerial phenomena -- planes, birds, drones, weather balloons -- so the system can flag genuine anomalies for human analysis. The team uses computer vision software called YOLO (You Only Look Once) and has generated hundreds of thousands of synthetic images to train their models, though the software currently identifies only 36% of aircraft captured by infrared cameras. The Pentagon is pursuing parallel efforts through its All-domain Anomaly Resolution Office, which has examined over 1,800 UAP reports and identified 50 to 60 cases as "true anomalies" that government scientists cannot explain. AARO has developed its own sensor suite called Gremlin, using similar technology to Harvard's observatory. Both programs represent the growing legitimization of UAP research following 2017 Defense Department disclosures about military encounters with unexplained aerial phenomena.

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Glitch, the coding platform where developers can share and remix projects, will soon no longer offer its core feature: hosting apps on the web. From a report: In an update on Thursday, Glitch CEO Anil Dash said it will stop hosting projects and close user profiles on July 8th, 2025 -- but stopped short of saying that it's shutting down completely. Users will be able to access their dashboard and download code for their projects through the end of 2025, and Glitch is working on a new feature that allows users to redirect their project subdomains. The platform has also stopped taking new Pro subscriptions, but it will continue to honor existing subscriptions until July 8th.

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Cornell University researchers have solved a kitchen mystery by demonstrating that sharp knives produce fewer and slower-moving droplets when cutting onions compared to dull blades. The findings used high-speed cameras and particle tracking to analyze droplet formation during onion cutting at speeds up to 20,000 frames per second. The team discovered that onion droplets form through a two-stage process: an initial violent ejection driven by internal pressure, followed by slower fragmentation of liquid streams in air. Blunter blades create up to 40 times more droplets because the onion's tough outer skin acts as a barrier, allowing the softer interior tissue to compress significantly before rupturing and releasing pressurized liquid. The research reveals that droplets are ejected at speeds between 1 and 40 meters per second, with the fastest ones posing the greatest risk of reaching a cook's eyes. Beyond tear reduction, the study suggests sharp knives may also limit the spread of foodborne pathogens, since atomized droplets can carry bacteria like Salmonella from contaminated cutting boards.

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An interesting piece on Construction Physics that examines how Japan transformed discarded American wartime shipbuilding techniques into a revolutionary manufacturing system that captured nearly half the global market by 1970. The story reveals the essential ingredients for industrial dominance: government backing, organizational alignment, relentless will to improve, and the systematic coordination needed to turn existing technologies into something entirely new. A few excerpts: During WWII, the US constructed an unprecedented shipbuilding machine. By assembling ships from welded, prefabricated blocks, the US built a huge number of cargo ships incredibly quickly, overwhelming Germany's u-boats and helping to win the war. But when the war was over, this shipbuilding machine was dismantled. Industrialists like Henry Kaiser and Stephen Bechtel, who operated some of the US's most efficient wartime shipyards, left the shipbuilding business. Prior to the war, the US had been an uncompetitive commercial shipbuilder producing a small fraction of commercial oceangoing ships, and that's what it became again. At the height of the war the US was producing nearly 90% of the world's ships. By the 1950s, it produced just over 2%. But the lessons from the US's shipbuilding machine weren't forgotten. After the war, practitioners brought them to Japan, where they would continue to evolve, eventually allowing Japan to build ships faster and cheaper than almost anyone else in the world. [...] The third strategy that formed the core of modern shipbuilding methods was statistical process control. The basic idea behind process control is that it's impossible to make an industrial process perfectly reliable. There will always be some variation in what it produces: differences in part dimensions, material strength, chemical composition, and so on. But while some variation is inherent to the process (and must be accepted), much of the variation is from specific causes that can be hunted down and eliminated. By analyzing the variation in a process, undesirable sources of variation can be removed. This makes a process work more reliably and predictably, reducing waste and rework from parts that are outside acceptable tolerances.

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An anonymous reader shares a report: Vietnam's technology ministry has instructed telecommunication service providers to block the messaging app Telegram for not cooperating in combating alleged crimes committed by its users, according to a government document reviewed by Reuters. The document, dated May 21 and signed by the deputy head of the telecom department at the technology ministry, ordered telecommunication companies to take measures to block Telegram and report on them to the ministry by June 2.

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President Donald Trump on Friday threatened Apple with a 25% tariff unless the company manufactures iPhones sold in America domestically rather than in India or other overseas locations. Trump posted on Truth Social that he had "long ago informed Tim Cook of Apple" about his expectation for US-based iPhone production, warning that failure to comply would trigger the substantial tariff penalty. The ultimatum follows Trump's expressed displeasure with Cook during his recent Middle East trip over Apple's plans to build iPhones at newly constructed Indian facilities. Apple has historically maintained that domestic iPhone manufacturing remains unfeasible due to insufficient skilled engineering talent and substantially higher production costs compared to Asian facilities.

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Europe has created just 14 companies worth more than $10 billion over the past 50 years compared to 241 in the United States, underscoring the continent's struggle to compete in the global technology race despite having a larger population and similar education levels. The productivity gap has widened dramatically since the digital revolution began. European workers produced 95% of what their American counterparts made per hour in the late 1990s, but that figure has dropped to less than 80% today. Only four of the world's top 50 technology companies are European, and none of the top 10 quantum computing investors operate from Europe. Several high-profile European entrepreneurs have relocated to Silicon Valley, including Thomas Odenwald, who quit German AI startup Aleph Alpha after two months, citing slow decision-making and lack of stock options for employees. "If I look at how quickly things change in Silicon Valley...it's happening so fast that I don't think Europe can keep up with that speed," Odenwald said. The challenges extend beyond individual companies. European businesses spend 40% of their IT budgets on regulatory compliance, according to Amazon surveys, while complex labor laws create three-month notice periods and lengthy noncompete clauses.

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OpenAI on Wednesday announced that it was paying $6.5 billion to buy io, a one-year-old start-up created by Jony Ive. While the company remains tightlipped about the futuristic AI device(s) it has in the works, Apple supply chain analyst Ming-Chi Kuo shared some alleged details about its design. MacRumors reports: In a social media post today, Kuo said the device will be "slightly larger" than Humane's discontinued AI Pin. He said the device will look "as compact and elegant as an iPod Shuffle," which was Apple's lowest-priced, screen-less iPod. The design of the iPod shuffle varied over the years, going from a compact rectangle to a square. Like the iPod shuffle, Kuo said OpenAI's device will not have a screen, but it would connect to smartphones and computers. The device will be equipped with microphones for voice control, and it will have cameras that can analyze the user's surroundings. He said that users will be able to wear the device around their necks, like a necklace, whereas the AI Pin can be attached to clothing with a clip. Kuo expects OpenAI's device to enter mass production in 2027, and the final design and specifications might change before then. Kuo expects OpenAI's device to enter mass production in 2027, and the final design and specifications might change before then.

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