Google has moved up its post-quantum encryption migration target to 2029. "This new timeline reflects migration needs for the PQC era in light of progress on quantum computing hardware development, quantum error correction, and quantum factoring resource estimates," said vice president of security engineering Heather Adkins and senior staff cryptology engineer Sophie Schmieg in a blog post. CyberScoop reports: Google is replacing outdated encryption across their devices, systems and data with new algorithms vetted by the National Institute for Standards and Technology. Those algorithms, developed over a decade by NIST and independent cryptologists, are designed to protect against future attacks from quantum computers. While Google has said it is on track to migrate its own systems ahead of the 2035 timeline provided in NIST guidelines, last month leaders at the company teased an updated timeline for migration and called on private businesses and other entities to act more urgently to prepare.

Unlike the federal government, there is no mandate for private businesses to migrate to quantum-resistant encryption, or even that they do so at all. Adkins and Schmieg said the hope is that other businesses will view Google's aggressive timeframe as a signal to follow suit. "As a pioneer in both quantum and PQC, it's our responsibility to lead by example and share an ambitious timeline," they wrote. "By doing this, we hope to provide the clarity and urgency needed to accelerate digital transitions not only for Google, but also across the industry."

In a library in Florence, Italy, historian Ivan Malara noticed handwritten notes on a book printed in the 1500s — and recognized the handwriting as Galileo's. The finding "promises new insights into one of the most famous ideological transitions in the history of science," writes Science magazine — since the book Galileo annotated was a reprint of Ptolemy's second-century work arguing that the earth was the center of the universe. Galileo's notes, perhaps written around 1590, or roughly 2 decades before his groundbreaking telescope observations of the Moon and Jupiter, reveal someone who both revered and critically dissected Ptolemy's work. And they imply, Malara argues, that Galileo ultimately broke with Ptolemy's cosmos because his mastery of the traditional paradigm's reasoning convinced him that a heliocentric [sun-centered] system would better fulfill Ptolemy's own mathematical logic.

ScienceDaily reports: Electrons can freeze into strange geometric crystals and then melt back into liquid-like motion under the right quantum conditions. Researchers identified how to tune these transitions and even discovered a bizarre "pinball" state where some electrons stay locked in place while others dart around freely. Their simulations help explain how these phases form and how they might be harnessed for advanced quantum technologies...

When electrons settle into these rigid arrangements, the material undergoes a shift in its state of matter and stops conducting electricity. Instead of acting like a metal, it behaves as an insulator. This unusual behavior provides scientists with valuable insight into how electrons interact and has opened the door to advances in quantum computing, high-performance superconductors used in energy and medical imaging, innovative lighting systems, and extremely precise atomic clocks... [Florida State University assistant professor Cyprian Lewandowski said] "Here, it turns out there are other quantum knobs we can play with to manipulate states of matter, which can lead to impressive advances in experimental research."

Apple released iOS 26, iPadOS 26 and macOS Tahoe 26 today, introducing Liquid Glass, a translucent design language that represents the biggest visual redesign since iOS 7 in 2013. The new interface elements dynamically refract and reflect background content across all three platforms. iOS 26 requires iPhone 11 or later and second-generation iPhone SE or newer. iPadOS 26 runs on the same hardware as iPadOS 18 except the 7th-generation iPad. macOS Tahoe 26 supports all Apple silicon Macs, the 2019 16-inch MacBook Pro, 2020 13-inch MacBook Pro, 2020 and later iMac, and 2019 and later Mac Pro. The transparent menu bar on macOS increases perceived display size.

iOS 26's adaptive Lock Screen time display resizes around notifications and Live Activities. Desktop icons, folders, app icons and widgets support light, dark, tinted, and clear appearances across all systems. iOS 26 adds Visual Intelligence for on-screen content analysis through screenshot button combinations. Live Translation operates across Messages, FaceTime and Phone on all platforms, translating text and audio in real-time on-device. The Camera app received streamlined navigation and lens cleaning hints for iPhone 15 and later models.

iPadOS 26 brings Mac-style windowing and multitasking. Apps support free-form placement and menu bars. The Phone app and new Apple Games app arrived on iPad. macOS gained the Phone app through Continuity, including Call Screening and Hold Assist features. Spotlight executes hundreds of actions without opening applications and automatically assigns quick keys to frequent actions. Apple Intelligence expands across all systems. The Shortcuts app gained intelligent actions for text summarization and image generation. The Wallet app tracks orders across platforms, while Apple Music introduced AutoMix for song transitions.

An anonymous reader shares a report: Over half of the British public are worried about the impact of AI on their jobs, according to employment unions, which want the UK government to adopt a "worker first" strategy rather than simply allowing corporations to ditch employees for algorithms. The Trades Union Congress (TUC), a federation of trade unions in England and Wales, says it found that people are concerned about the way AI is being adopted by businesses and want a say in how the technology is used at their workplace and the wider economy.

It warns that without such a "worker-first plan," use of "intelligent" algorithms could lead to even greater social inequality in the country, plus the kind of civil unrest that goes along with that. The TUC says it wants conditions attached to the tens of billions in public money being spent on AI research and development to ensure that workers are supported and retrained rather than deskilled or replaced. It also wants guardrails in place so that workers are protected from "AI harms" at work, rules to ensure workers are involved in deciding how machine learning is used, and for the government to provide support for those who euphemistically "experience job transitions" as a result of AI disruption.

Accenture is facing mounting challenges as AI threatens to disrupt the consulting industry the company helped build. The Dublin-based firm, which made its fortune advising clients on adapting to new technologies from the internet to cloud computing, now confronts the same predicament as generative AI reshapes business operations.

The company's new generative AI contracts slowed to $100 million in the most recent quarter, down from $200 million per quarter last year. Technology partners including Microsoft and SAP are increasingly integrating AI directly into their offerings, allowing systems to work immediately without extensive consulting support. Newcomers like Palantir are embedding their own engineers with customers, enabling clients to bypass traditional consultants.

Between 2015 and 2024, Accenture generated a 370% total return by helping companies navigate technological transitions. The firm reached a $250 billion valuation in February before losing $60 billion in market value. CEO Julie Sweet insists that the company is reorganizing around "reinvention services." A recent survey found 42% of companies abandoned most AI initiatives, up from 17% a year ago.

sciencehabit shares a report from Science.org: The newly discovered microbe provisionally known as Sukunaarchaeum isn't a virus. But like viruses, it seemingly has one purpose: to make more of itself. As far as scientists can tell from its genome -- the only evidence of its existence so far -- it's a parasite that provides nothing to the single-celled creature it calls home. Most of Sukunaarchaeum's mere 189 protein-coding genes are focused on replicating its own genome; it must steal everything else it needs from its host Citharistes regius, a dinoflagellate that lives in ocean waters all over the world. Adding to the mystery of the microbe, some of its sequences identify it as archaeon, a lineage of simple cellular organisms more closely related to complex organisms like us than to bacteria like Escherichia coli.

The discovery of Sukunaarchaeum's bizarrely viruslike way of living, reported last month in a bioRxiv preprint, "challenges the boundaries between cellular life and viruses," says Kate Adamala, a synthetic biologist at the University of Minnesota Twin Cities who was not involved in the work. "This organism might be a fascinating living fossil -- an evolutionary waypoint that managed to hang on." Adamala adds that if Sukunaarchaeum really does represent a microbe on its way to becoming a virus, it could teach scientists about how viruses evolved in the first place. "Most of the greatest transitions in evolution didn't leave a fossil record, making it very difficult to figure out what were the exact steps," she says. "We can poke at existing biochemistry to try to reconstitute the ancestral forms -- or sometimes we get a gift from nature, in the form of a surviving evolutionary intermediate."

What's already clear: Sukunaarchaeum is not alone. When team leader Takuro Nakayama, an evolutionary microbiologist at Tsukuba, and his colleagues sifted through publicly available DNA sequences extracted from seawater all over the world, they found many sequences similar to those of Sukunaarchaeum. "That's when we realized that we had not just found a single strange organism, but had uncovered the first complete genome of a large, previously unknown archaeal lineage," Nakayama says.

NPR looks at the "high-quality, climate-friendly apartments" in Vienna, asking if it's a model for addressing both climate change and the housing crisis.

About half the city's 2 million people live in the widespread (and government-supported) apartments, with solar panels on top and very thick, insulated walls that reduce the need for heating and cooling. (One resident tells NPR they don't even need an air conditioner because "It's not cold in winter times. It's not hot in summer times.") Vienna council member Nina Abrahamczik, who heads the climate and environment committee, says as the city transitions all of its buildings off planet-heating fossil fuels, they're starting with the roughly 420,000 housing units they already own or subsidize.... As Vienna makes an aggressive push to completely move away from climate-polluting natural gas by 2040, it's starting with much of this social housing, says Jürgen Czernohorszky, executive city councilor responsible for climate and environment. City-owned buildings are now switching from gas to massive electric heat pumps, and to geothermal, which involves probing into the ground to heat homes. Another massive geothermal project that drills even deeper into the earth to heat homes is also underway.

The city is also powering housing with solar energy. As of a year and a half ago, Vienna mandates all new buildings and building extensions to have rooftop solar. And Vienna's older apartment buildings are getting climate retrofits, says Veronika Iwanowski, spokesperson for Vienna's municipal housing company, Wiener Wohnen. That includes new insulation, doors and windows to prevent the city's wind from getting in the cracks. The increase in energy efficiency and switching from gas to renewables doesn't just have climate benefits from cutting fossil fuel use. It also means housing residents are paying less on electric bills...

With city-subsidized housing, housing developers can compete to get land and low-interest loans from the city. Officials say those competitions are a critical lever for climate action. "As we can control the contents of the competitions, we try to make them fit to the main goals of the city," says Kurt Hofstetter, city planner for Vienna, "which is of course also ecological...." Now the housing judges give out points for things like increased energy efficiency, green roofs and sustainable building materials... Now the climate innovations in subsidized housing are inspiring the private market as well, Hofstetter says...
The article notes that most of the city's funding is provided in the form of low-interest loans, according to a researcher at the Austrian Federation of Limited-Profit Housing Associations. (And the average social housing rents are about $700 for a large one-bedroom apartment, says Gerald Kössl, researcher at the Austrian Federation of Limited-Profit Housing Associations.)

"Cooper Taylor is only 17 years old, but he's already trying to revolutionize the drone industry," writes Business Insider: His design makes the drone more efficient, customizable, and less expensive to construct, he says. He's built six prototypes, 3D printing every piece of hardware, programming the software, and even soldering the control circuit board. He says building his drone cost one-fifth of the price of buying a comparable machine, which sells for several thousand dollars. Taylor told Business Insider he hopes that "if you're a first responder or a researcher or an everyday problem solver, you can have access to this type of drone."

His innovation won him an $8,000 scholarship in April at the Junior Science and Humanities Symposium, funded by the Defense Department. Then, on May 16, he received an even bigger scholarship of $15,000 from the US Navy, which he won after presenting his research at the Regeneron International Science and Engineering Fair...

It all started when Taylor's little sister got a drone, and he was disappointed to see that it could fly for only about 30 minutes before running out of power. He did some research and found that a vertical take-off and landing, or VTOL, drone would last longer. This type of drone combines the multi-rotor helicopter style with the fixed wings of an airplane, making it extremely versatile. It lifts off as a helicopter, then transitions into plane mode. That way, it can fly farther than rotors alone could take it, which was the drawback to Taylor's sister's drone. Unlike a plane-style drone, though, it doesn't need a runway, and it can hover with its helicopter rotors.
Taylor designed a motor "that could start out helicopter-style for liftoff, then tilt back to become an airplane-style motor," according to the article.

And now this summer he'll be "working on a different drone project through a program with the Reliable Autonomous Systems Lab at the Massachusetts Institute of Technology."

Thanks to Slashdot reader Agnapot for sharing the news.

According to market analyst firm Canalys, enterprise adoption of AI is slowing due to unpredictable and often high costs associated with model inferencing in the cloud. Despite strong growth in cloud infrastructure spending, businesses are increasingly scrutinizing cost-efficiency, with some opting for alternatives to public cloud providers as they grapple with volatile usage-based pricing models. The Register reports: [Canalys] published stats that show businesses spent $90.9 billion globally on infrastructure and platform-as-a-service with the likes of Microsoft, AWS and Google in calendar Q1, up 21 percent year-on-year, as the march of cloud adoption continues. Canalys says that growth came from enterprise users migrating more workloads to the cloud and exploring the use of generative AI, which relies heavily on cloud infrastructure.

Yet even as organizations move beyond development and trials to deployment of AI models, a lack of clarity over the ongoing recurring costs of inferencing services is becoming a concern. "Unlike training, which is a one-time investment, inference represents a recurring operational cost, making it a critical constraint on the path to AI commercialization," said Canalys senior director Rachel Brindley. "As AI transitions from research to large-scale deployment, enterprises are increasingly focused on the cost-efficiency of inference, comparing models, cloud platforms, and hardware architectures such as GPUs versus custom accelerators," she added.

Canalys researcher Yi Zhang said many AI services follow usage-based pricing models that charge on a per token or API call basis. This makes cost forecasting hard as the use of the services scale up. "When inference costs are volatile or excessively high, enterprises are forced to restrict usage, reduce model complexity, or limit deployment to high-value scenarios," Zhang said. "As a result, the broader potential of AI remains underutilized." [...] According to Canalys, cloud providers are aiming to improve inferencing efficiency via a modernized infrastructure built for AI, and reduce the cost of AI services. The report notes that AWS, Azure, and Google Cloud "continue to dominate the IaaS and PaaS market, accounting for 65 percent of customer spending worldwide."

"However, Microsoft and Google are slowly gaining ground on AWS, as its growth rate has slowed to 'only' 17 percent, down from 19 percent in the final quarter of 2024, while the two rivals have maintained growth rates of more than 30 percent."

An anonymous reader shares a blog post from Google: Today, we're bringing you Android 16, rolling out first to supported Pixel devices with more phone brands to come later this year. This is the earliest Android has launched a major release in the last few years, which ensures you get the latest updates as soon as possible on your devices. Android 16 lays the foundation for our new Material 3 Expressive design, with features that make Android more accessible and easy to use.

The entertainment industry has achieved an unprecedented milestone: more film and television content exists today than at any point in human history. The technical infrastructure to deliver this content directly to consumers' homes works flawlessly. The problem? Actually finding something to watch has become a user experience nightmare that would make early-2000s software developers cringe.

Multiple streaming platforms are suffering from fundamental interface design failures that actively prevent users from discovering content. Cameron Nudleman, an Austin-based user, told Salon that scrolling through streaming service landing pages feels "like a Herculean task," while his Amazon Fire Stick setup -- designed to consolidate multiple services -- delivers consistent crashes across Paramount+ and Max, with Peacock terminating randomly "for no discernible reason."

The technical problems extend beyond stability issues to basic functionality failures. Max automatically enables closed captions despite user preferences, while Paramount+ crashes during show transitions. Chicago media writer Tim O'Reilly describes "every single interface" as "complete garbage except for Netflix's," though even Netflix has recently implemented changes that degrade user experience.

The industry eliminated simple discovery mechanisms like newspaper listings and Moviefone's telephone service in favor of algorithm-driven interfaces that Tennessee attorney Claire Tuley says have "turned art into work," transforming what was supposed to "democratize movies" into "a system that requires so many subscriptions, searching and effort."

Amazon CEO Andy Jassy has this week sounded the alarm on AI adoption speeds. Though self-described as an AI optimist, Jassy cautioned that this technological shift "may be quicker than other technology transitions in the past."

Jassy pointed directly to declining education quality as "one of the biggest problems" facing AI implementation, not the technology itself. He questioned whether schools are adequately preparing students for future tool use, including coding applications.

An anonymous reader shares a report: For decades, India's economic promise has rested on its demographic dividend -- the competitive edge of a massive, young, and increasingly educated workforce. Economists and policymakers have routinely cited the country's population profile as its ticket to economic superpower status, with projections of reaching $10 trillion in GDP and achieving high-income status by 2047. These forecasts depend heavily on a critical assumption: that roughly 500 million Indians currently aged 5-24 will find productive employment as they enter the workforce over the next two decades. But a sobering new analysis from Bernstein suggests this fundamental premise may be crumbling under the weight of rapid advances in AI.

"The advent of AI threatens to erode all the advantages of India's rich demographic dividend," write Bernstein analysts Venugopal Garre and Nikhil Arela, who characterize their assessment as a potential "doomsday scenario" for a nation that has hitched its economic wagon to services-led growth. At stake is India's $350 billion services export sector -- a sprawling ecosystem of IT outsourcing, business process management, and offshore knowledge centers that employs over 10 million workers, mostly in jobs that place them in the top 25% of the country's income distribution.

While India's IT giants have successfully navigated previous technological shifts -- from basic call centers in the late 1980s to cloud computing and data analytics more recently -- AI poses a fundamentally different challenge. Unlike earlier transitions that required human adaptation, today's AI systems threaten to replace rather than complement the workforce. "AI subscriptions that come at a fraction of the costs of India's entry level engineers can be deployed to perform tasks at higher precision and speed," the report note.

Amid the ongoing Linux 6.14 kernel development cycle, Phoronix spotted a pull request for ACPI updates which "will allow for faster suspend and resume cycles on some systems."

Wikipedia defines ACPI as "an open standard that operating systems can use to discover and configure computer hardware components" for things like power management and putting unused hardware components to sleep. Phoronix reports: The ACPI change worth highlighting for Linux 6.14 is switching from msleep() to usleep_range() within the acpi_os_sleep() call in the kernel. This reduces spurious sleep time due to timer inaccuracy. Linux ACPI/PM maintainer Rafael Wysocki of Intel who authored this change noted that it could "spectacularly" reduce the duration of system suspend and resume transitions on some systems...

Rafael explained in the patch making the sleep change:

"The extra delay added by msleep() to the sleep time value passed to it can be significant, roughly between 1.5 ns on systems with HZ = 1000 and as much as 15 ms on systems with HZ = 100, which is hardly acceptable, at least for small sleep time values."
One 2022 bug report complained a Dell XPS 13 using Thunderbolt took "a full 8 seconds to suspend and a full 8 seconds to resume even though no physical devices are connected." In November an Intel engineer posted on the kernel mailing list that the fix gave a Dell XPS 13 a 42% improvement in kernel resume time (from 1943ms to 1127ms).

Donald Trump was sworn in as the 47th president of the United States on Monday in a ceremony inside the U.S. Capitol's Rotunda, returning to the White House after defeating Kamala Harris.

Trump, 78, took the oath of office before a packed crowd of lawmakers, dignitaries, and supporters, with Chief Justice John Roberts administering the ceremony. Former presidents Bill Clinton, George W. Bush, and Barack Obama attended, continuing a tradition of peaceful transitions of power.

In a notable show of corporate support, top technology executives including Apple's Tim Cook, Amazon's Jeff Bezos, and Tesla's Elon Musk sat in prominent positions near the stage.

Prior to the ceremony, Biden and Trump shared a limousine ride to the Capitol, maintaining another inaugural tradition despite their fierce rivalry. Biden, 82, issued several last-minute pardons before departing office, including one for Indigenous activist Leonard Peltier.

Dell CEO Michael Dell has acknowledged delays in corporate adoption of AI-enabled PCs but remains confident in their eventual widespread uptake, citing his four decades of industry experience with technology transitions.

The PC maker's chief executive told Fortune that while the current refresh cycle is "definitely delayed," adoption is inevitable once sufficient features drive customer demand. Meanwhile, Dell's infrastructure division saw 80% revenue growth last quarter from AI-server sales. The company is supplying servers for xAI's Colossus supercomputer project in Memphis and sees opportunities in "sovereign AI" systems for nations seeking technological independence. "Pick a country ranked by GDP, the [top] 49 other than the U.S., they all need one," Dell said.

"In September 2024, U.S. scientists made key advances towards building a nuclear clock — a step beyond an atomic clock," according to ScienceAlert: In contrast to the atomic clock, the transition measured by this new device happens in the nucleus, or core, of the atom (hence the name), which gives it an even higher frequency. Thorium-229, the atom used for this study, offers a nuclear transition that can be excited by ultraviolet light. The team working on the nuclear clock overcame the technological challenge of building a frequency comb that works at the relatively high frequency range of ultraviolet light. This was a big step forward because nuclear transitions usually only become visible at much higher frequencies — like those of gamma radiation. But we are not able to accurately measure transitions in the gamma range yet.

The thorium atom transition has a frequency roughly one million times higher than the caesium atom's. This means that, although it has been measured with a lower accuracy than the current state-of-the-art strontium clock, it promises a new generation of clocks with much more precise definitions of the second. Measuring time to the nineteenth decimal place, as nuclear clocks could do, would allow scientists to study very fast processes... [G]eneral relativity is used to study high speed processes that could lead to overlaps with quantum mechanics. A nuclear clock will give us the technology necessary for proving these theories. [The clocks "will enable the study of the union of general relativity and quantum mechanics once they become sensitive to the finite wavefunction of quantum objects oscillating in curved space-time," according to the abstract of the researchers' paper.]

On a technological level, precise positioning systems such as GPS are based on complex calculations that require fine measurements of the time required by a signal to jump from one device to a satellite and onto another device. A better definition of the second will translate to much more accurate GPS. Time might be up for the caesium second, but a whole new world awaits beyond it.
As the researchers explain their paper's abstract,

Leading technology companies are dramatically expanding their AI capabilities by building multibillion-dollar "super clusters" packed with unprecedented numbers of Nvidia's AI processors. Elon Musk's xAI recently constructed Colossus, a supercomputer containing 100,000 Nvidia Hopper chips, while Meta CEO Mark Zuckerberg claims his company operates an even larger system for training advanced AI models. The push toward massive chip clusters has helped drive Nvidia's quarterly revenue from $7 billion to over $35 billion in two years, making it the world's most valuable public company.

WSJ adds: Nvidia Chief Executive Jensen Huang said in a call with analysts following its earnings Wednesday that there was still plenty of room for so-called AI foundation models to improve with larger-scale computing setups. He predicted continued investment as the company transitions to its next-generation AI chips, called Blackwell, which are several times as powerful as its current chips.

Huang said that while the biggest clusters for training for giant AI models now top out at around 100,000 of Nvidia's current chips, "the next generation starts at around 100,000 Blackwells. And so that gives you a sense of where the industry is moving."

Apple has stopped selling its Lightning-to-3.5mm headphone jack adapter in the U.S. and most countries, with limited stock remaining only in select European markets. The $9 accessory, introduced with iPhone 7 in 2016 (after the "courageous" move to stop including the headphone jack in iPhones), allowed users to connect traditional headphones to Lightning port iPhones. The discontinuation comes as Apple transitions to USB-C ports across its iPhone lineup.