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"What if ultrafast pulses of light could operate computers at speeds a million times faster than today's best processors?" asks the University of Arizona. "A team of scientists, including researchers from the University of Arizona, are working to make that possible." In a groundbreaking international effort, researchers from the Department of Physics in the College of Science and the James C. Wyant College of Optical Sciences demonstrated a way to manipulate electrons in graphene using pulses of light that last less than a trillionth of a second. By leveraging a quantum effect known as tunneling, they recorded electrons bypassing a physical barrier almost instantaneously, a feat that redefines the potential limits of computer processing power. A study published in Nature Communications highlights how the technique could lead to processing speeds in the petahertz range — over 1,000 times faster than modern computer chips. Sending data at those speeds would revolutionize computing as we know it, said Mohammed Hassan, an associate professor of physics and optical sciences. Hassan has long pursued light-based computer technology and previously led efforts to develop the world's fastest electron microscope... [T]he researchers used a laser that switches off and on at a rate of 638 attoseconds to create what Hassan called "the world's fastest petahertz quantum transistor... For reference, a single attosecond is one-quintillionth of a second," Hassan said. "That means that this achievement represents a big leap forward in the development of ultrafast computer technologies by realizing a petahertz-speed transistor." While some scientific advancements occur under strict conditions, including temperature and pressure, this new transistor performed in ambient conditions — opening the way to commercialization and use in everyday electronics. Hassan is working with Tech Launch Arizona, the office that works with investigators to commercialize inventions stemming from U of A research in order to patent and market innovations. While the original invention used a specialized laser, the researchers are furthering development of a transistor compatible with commercially available equipment. "I hope we can collaborate with industry partners to realize this petahertz-speed transistor on a microchip," Hassan said. Thanks to long-time Slashdot reader goslackware for sharing the news.

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I've used Windows all my life, so I dove in the deep end and tried Arch Linux  XDA

"In large, companies failed to self-regulate," writes long-time Slashdot reader BrendaEM: They have not been respected the individual's right to privacy. In software and web interfaces, companies have buried their privacy setting so deep that they cannot be found in a reasonable amount of time, or an unreasonable amount of steps are needed to attempt to retain data. These companies have taken away the individual's right to privacy --by default. Are laws needed that protect a person's privacy by default--unless specific steps are taken by that user/purchaser to relinquish it? Should the wording of the explanation be so written that the contract is brief, explaining the forfeiture of the privacy, and where that data might be going? Should a company selling a product be required to state before purchase which rights need to be dismissed for its use? Should a legal owner who purchased a product expect it to stop functioning--only because a newer user contract is not agreed to? Share your own thoughts and experiences in the comments. What's your ideal privacy policy? And do we need opt-out-by-defaut privacy laws?

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Virtual Machine Beginners Should Try These 9 Operating Systems First  How-To Geek

SiFive was one of the first companies to produce a RISC-V chip. This week they announced a new collaboration with Red Hat "to bring Red Hat Enterprise Linux support to the rapidly growing RISC-V community" and "prepare Red Hat's product portfolio for future intersection with RISC-V server hardware from a diverse set of RISC-V suppliers." Red Hat Enterprise Linux 10 is available in developer preview on the SiFive HiFive Premier P550 platform, which they call "a proven, high performance RISC-V CPU development platform." The SiFive HiFive Premier P550 provides a proven, high performance RISC-V CPU development platform. Adding support for Red Hat Enterprise Linux 10, the latest version of the world's leading enterprise Linux platform, enables developers to create, optimize, and release new applications for the next generation of enterprise servers and cloud infrastructure on the RISC-V architecture... SiFive's high performance RISC-V technology is already being used by large organizations to meet compute-intensive AI and machine learning workloads in the datacenter... "With the growing demand for RISC-V, we are pleased to collaborate with SiFive to support Red Hat Enterprise Linux 10 deployments on SiFive HiFive Premier P550," said Ronald Pacheco, senior director of RHEL product and ecosystem strategy, "to further empower developers with the power of the world's leading enterprise Linux platform wherever and however they choose to deploy...." Dave Altavilla, principal analyst at HotTech Vision And Analysis, said "Native Red Hat Enterprise Linux support on SiFive's HiFive Premier P550 board offers developers a substantial enterprise-grade toolchain for RISC-V. "This is a pivotal step forward in enabling a full-stack ecosystem around open RISC-V hardware. SiFive says the move will "inspire the next generation of enterprise workloads and AI applications optimized for RISC-V," while helping their partners "deliver systems with a meaningfully lower total cost of ownership than incumbent platforms." "With the growing demand for RISC-V, we are pleased to collaborate with SiFive to support Red Hat Enterprise Linux 10 deployments on SiFive HiFive Premier P550..." said Ronald Pacheco, senior director of RHEL product and ecosystem strategy. . Beta News notes that there's also a new AI-powered assistant in RHEL 10, so "Instead of spending all day searching for answers or poking through documentation, admins can simply ask questions directly from the command line and get real-time help Security is front and center in this release, too. Red Hat is taking a proactive stance with early support for post-quantum cryptography. OpenSSL, GnuTLS, NSS, and OpenSSH now offer quantum-resistant options, setting the stage for better protection as threats evolve. There's a new sudo system role to help with privilege management, and OpenSSH has been bumped to version 9.9. Plus, with new Sequoia tools for OpenPGP, the door is open for even more robust encryption strategies. But it's not just about security and AI. Containers are now at the heart of RHEL 10 thanks to the new "image mode." With this feature, building and maintaining both the OS and your applications gets a lot more streamlined...

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SiFive was one of the first companies to produce a RISC-V chip. This week they announced a new collaboration with Red Hat "to bring Red Hat Enterprise Linux support to the rapidly growing RISC-V community" and "prepare Red Hat's product portfolio for future intersection with RISC-V server hardware from a diverse set of RISC-V suppliers." Red Hat Enterprise Linux 10 is available in developer preview on the SiFive HiFive Premier P550 platform, which they call "a proven, high performance RISC-V CPU development platform." The SiFive HiFive Premier P550 provides a proven, high performance RISC-V CPU development platform. Adding support for Red Hat Enterprise Linux 10, the latest version of the world's leading enterprise Linux platform, enables developers to create, optimize, and release new applications for the next generation of enterprise servers and cloud infrastructure on the RISC-V architecture... SiFive's high performance RISC-V technology is already being used by large organizations to meet compute-intensive AI and machine learning workloads in the datacenter... "With the growing demand for RISC-V, we are pleased to collaborate with SiFive to support Red Hat Enterprise Linux 10 deployments on SiFive HiFive Premier P550," said Ronald Pacheco, senior director of RHEL product and ecosystem strategy, "to further empower developers with the power of the world's leading enterprise Linux platform wherever and however they choose to deploy...." Dave Altavilla, principal analyst at HotTech Vision And Analysis, said "Native Red Hat Enterprise Linux support on SiFive's HiFive Premier P550 board offers developers a substantial enterprise-grade toolchain for RISC-V. "This is a pivotal step forward in enabling a full-stack ecosystem around open RISC-V hardware. SiFive says the move will "inspire the next generation of enterprise workloads and AI applications optimized for RISC-V," while helping their partners "deliver systems with a meaningfully lower total cost of ownership than incumbent platforms." "With the growing demand for RISC-V, we are pleased to collaborate with SiFive to support Red Hat Enterprise Linux 10 deployments on SiFive HiFive Premier P550..." said Ronald Pacheco, senior director of RHEL product and ecosystem strategy. . Beta News notes that there's also a new AI-powered assistant in RHEL 10, so "Instead of spending all day searching for answers or poking through documentation, admins can simply ask questions directly from the command line and get real-time help Security is front and center in this release, too. Red Hat is taking a proactive stance with early support for post-quantum cryptography. OpenSSL, GnuTLS, NSS, and OpenSSH now offer quantum-resistant options, setting the stage for better protection as threats evolve. There's a new sudo system role to help with privilege management, and OpenSSH has been bumped to version 9.9. Plus, with new Sequoia tools for OpenPGP, the door is open for even more robust encryption strategies. But it's not just about security and AI. Containers are now at the heart of RHEL 10 thanks to the new "image mode." With this feature, building and maintaining both the OS and your applications gets a lot more streamlined...

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I found a Linux-friendly Lenovo mini PC - and it drives up to six external monitors  ZDNET

Valve's SteamOS 3.7.8 update brings official support for AMD-powered handhelds like Lenovo's Legion Go and Asus' ROG Ally, along with a new "Steam OS Compatible" library tab and key bug fixes. Other features include a battery charge limit, updated graphics drivers, and a shift to Plasma 6.2.5. Polygon reports: Valve outlines two requirements for the third-party devices not explicitly named in the update to run SteamOS on the handheld: they must be AMD-powered and have an NVMe SSD. Specific instructions for installing the operating system have been updated and listed here. Before this huge update, players had to use an alternative like Bazzite to achieve a similar SteamOS experience on their devices. The new update also piggybacks off of Valve expanding the Steam Deck Verified categorization system to "any device running SteamOS that's not a Steam Deck" in mid-May. To make matters sweeter, a SteamOS-powered version of the Lenovo Legion Go S is scheduled to release on May 25. You can learn more about SteamOS 3.7.8 here.

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Proton Experimental update enables gamepad input for all game launchers on Linux, SteamOS / Steam Deck  GamingOnLinux

Google's new AI video tool, Veo 3, is being used to create hyperrealistic videos that are now flooding the internet, terrifying viewers "with a sense that real and fake have become hopelessly blurred," reports Axios. From the report: Unlike OpenAI's video generator Sora, released more widely last December, Google DeepMind's Veo 3 can include dialogue, soundtracks and sound effects. The model excels at following complex prompts and translating detailed descriptions into realistic videos. The AI engine abides by real-world physics, offers accurate lip-syncing, rarely breaks continuity and generates people with lifelike human features, including five fingers per hand. According to examples shared by Google and from users online, the telltale signs of synthetic content are mostly absent. In one viral example posted on X, filmmaker and molecular biologist Hashem Al-Ghaili shows a series of short films of AI-generated actors railing against their AI creators and prompts. Special effects technology, video-editing apps and camera tech advances have been changing Hollywood for many decades, but artificially generated films pose a novel challenge to human creators. In a promo video for Flow, Google's new video tool that includes Veo 3, filmmakers say the AI engine gives them a new sense of freedom with a hint of eerie autonomy. "It feels like it's almost building upon itself," filmmaker Dave Clark says.

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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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More Intel Panther Lake Graphics PCI IDs Added To Linux 6.15  Phoronix

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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NixOS 25.05 Released with Linux 6.12 LTS and 6.14 Kernels, GNOME 48, and More  9to5Linux

NixOS 25.05 Released with Linux 6.12 LTS and 6.14 Kernels, GNOME 48, and More  9to5Linux

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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