"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.

An anonymous reader shares a report: Intel has considered divesting its network and edge businesses as the chipmaker looks to shave off parts of the company its new chief executive does not see as crucial, three sources familiar with the matter said.

Talks about the potential sale of the group, once called NEX in Intel's financial results, are a part of CEO Lip-Bu Tan's strategy to focus its tens of thousands of employees on areas in which it has historically thrived: PC and data center chips.

Qualcomm announced plans to re-enter the data center market with custom CPUs designed to integrate with Nvidia GPUs and software. As CNBC reports, the move supports Qualcomm's broader strategy to diversify beyond smartphones and into high-growth areas like data centers, PCs, and automotive chips. From the report: "I think we see a lot of growth happening in this space for decades to come, and we have some technology that can add real value added," Cristiano Amon, CEO of Qualcomm, told CNBC in an interview on Monday. "So I think we have a very disruptive CPU." Amon said the company will make an announcement about the CPU roadmap and the timing of its release "very soon," without offering specifics. The data center CPU market remains highly competitive. Big cloud computing players like Amazon and Microsoft already design and deploy their own custom CPUs. AMD and Intel also have a strong presence.

Addressing the competition, Amon said that there will be a place for Qualcomm in the data center CPU space. "As long as ... we can build a great product, we can bring innovation, and we can add value with some disruptive technology, there's going to be room for Qualcomm, especially in the data center," Amon said. "[It] is a very large addressable market that will that will see a lot of investment for decades to come." Last week, Qualcomm signed a memorandum of understanding with Saudi-based AI frim Humain to develop data centers, joining a slew of U.S. tech companies making deals in the region. Humain will operate under Saudi Arabia's Public Investment Fund.

An anonymous reader quotes a report from Patently Apple: It's being reported in the Gulf region that a new 5GW UAE-US AI Campus in Abu Dhabi was unveiled on Thursday at Qasr Al Watan in the presence of President His Highness Sheikh Mohamed bin Zayed Al Nahyan and US. President Donald Trump, who is on a state visit to the UAE. The new AI campus -- the largest of its kind outside the United States -- will host US hyperscalers and large enterprises, enabling them to leverage regional compute resources with the capability to serve the Global South. The UAE-US AI Campus will feature 5GW of capacity for AI data centers in Abu Dhabi, offering a regional platform through which US hyperscalers can provide low-latency services to nearly half of the global population.

Upon completion, the facility will utilize nuclear, solar, and gas power to minimize carbon emissions. It will also house a science park focused on advancing innovation in artificial intelligence. The campus will be built by G42 and operated in partnership with several US companies including NVIDIA, OpenAI, SoftBank, Cisco and others. The initiative is part of the newly established US-UAE AI Acceleration Partnership, a bilateral framework designed to deepen collaboration on artificial intelligence and advanced technologies. The UAE and US will jointly regulate access to the compute resources, which are reserved for US hyperscalers and approved cloud service providers. An official press release from the White House can be found here.

An anonymous reader quotes a report from Ars Technica: Google's DeepMind research division claims its newest AI agent marks a significant step toward using the technology to tackle big problems in math and science. The system, known as AlphaEvolve, is based on the company's Gemini large language models (LLMs), with the addition of an "evolutionary" approach that evaluates and improves algorithms across a range of use cases. AlphaEvolve is essentially an AI coding agent, but it goes deeper than a standard Gemini chatbot. When you talk to Gemini, there is always a risk of hallucination, where the AI makes up details due to the non-deterministic nature of the underlying technology. AlphaEvolve uses an interesting approach to increase its accuracy when handling complex algorithmic problems.

According to DeepMind, this AI uses an automatic evaluation system. When a researcher interacts with AlphaEvolve, they input a problem along with possible solutions and avenues to explore. The model generates multiple possible solutions, using the efficient Gemini Flash and the more detail-oriented Gemini Pro, and then each solution is analyzed by the evaluator. An evolutionary framework allows AlphaEvolve to focus on the best solution and improve upon it. Many of the company's past AI systems, for example, the protein-folding AlphaFold, were trained extensively on a single domain of knowledge. AlphaEvolve, however, is more dynamic. DeepMind says AlphaEvolve is a general-purpose AI that can aid research in any programming or algorithmic problem. And Google has already started to deploy it across its sprawling business with positive results. DeepMind's AlphaEvolve AI has optimized Google's Borg cluster scheduler, reducing global computing resource usage by 0.7% -- a significant cost saving at Google's scale. It also outperformed specialized AI like AlphaTensor by discovering a more efficient algorithm for multiplying complex-valued matrices. Additionally, AlphaEvolve proposed hardware-level optimizations for Google's next-gen Tensor chips.

The AI remains too complex for public release but that may change in the future as it gets integrated into smaller research tools.

Apple's smartphone shipments in China plunged nearly 50% year-over-year in March 2025, as domestic brands like Huawei and Vivo surged ahead -- now controlling 92% of the market. MacRumors reports: The steep decline saw shipments fall to just 1.89 million units, down from 3.75 million during the same period last year. That shrinks Apple's share of the Chinese market to approximately 8%, while domestic brands now control 92% of smartphone shipments. For the entire first quarter, non-Chinese brand shipments declined over 25%, while total smartphone shipments in China actually increased by 3.3%.

Apple's struggles come as domestic competitors have gained ground. Counterpoint Research reports Huawei now leads with a 19.4% share, followed by Vivo (17%), Xiaomi (16.6%), and Oppo (14.6%). Apple has slipped to fifth place with 14.1%. Several factors are driving Apple's declining fortunes. The company faces competition from rejuvenated local brands like Huawei, which has rebounded with proprietary chips and its HarmonyOS Next software. Chinese government policies appear to be playing a role too. Under government subsidies, consumers of electronics get a 15% refund of products that are priced under 6,000 yuan ($820). Apple's standard iPhone 16 starts at 5,999 yuan.

President Donald Trump's administration has taken a tougher stance on Chinese technology advances, warning companies around the world that using AI chips made by Huawei could trigger criminal penalties for violating US export controls. From a report: The commerce department issued guidance to clarify that Huawei's Ascend processors were subject to export controls because they almost certainly contained, or were made with, US technology.

Its Bureau of Industry and Security, which oversees export controls, said on Tuesday it was taking a more stringent approach to foreign AI chips, including "issuing guidance that using Huawei Ascend chips anywhere in the world violates US export controls." But people familiar with the matter stressed that the bureau had not issued a new rule, but was making it clear to companies that Huawei chips are likely to have violated a measure that requires hard-to-get licences to export US technology to the Chinese company.

The Department of Commerce officially rescinded the Biden administration's Artificial Intelligence Diffusion Rule on Tuesday, just days before its May 15 implementation date. The rule would have imposed first-ever export restrictions on U.S.-made AI chips to dozens of countries while tightening existing controls on China and Russia.

Instead of implementing blanket restrictions, the DOC signaled a shift toward direct country-by-country negotiations. The department released interim guidance reminding companies that using Huawei's Ascend AI chips anywhere violates U.S. export rules and warned about consequences of allowing U.S. chips to train AI models in China. Commerce Secretary for Industry and Security Jeffery Kessler criticized the previous administration's approach, calling it "ill-conceived and counterproductive."

Gaming pioneer John Carmack believes we're not nearly as dependent on cutting-edge silicon as most assume -- we just lack the economic incentive to prove it. Responding to a "CPU apocalypse" thought experiment on X, the id Software founder and former Oculus CTO suggested that software inefficiency, not hardware limitations, is our greatest vulnerability. "More of the world than many might imagine could run on outdated hardware if software optimization was truly a priority," Carmack wrote, arguing that market pressures would drive dramatic efficiency improvements if new chips stopped arriving.

His solution? "Rebuild all the interpreted microservice based products into monolithic native codebases!" -- essentially abandoning modern development patterns for the more efficient approaches of earlier computing eras. The veteran programmer noted that such changes would come with significant tradeoffs: "Innovative new products would get much rarer without super cheap and scalable compute."

Amazon's decade-old acquisition of Annapurna Labs has emerged as a pivotal element in its AI strategy, with the once-secretive Israeli chip design startup now powering AWS infrastructure. The $350 million deal, struck in 2015 after initial talks between Annapurna co-founder Nafea Bshara and Amazon executive James Hamilton, has equipped the tech giant with custom silicon capabilities critical to its cloud computing dominance.

Annapurna's chips, particularly the Trainium processor for AI model training and Graviton for general-purpose computing, now form the foundation of Amazon's AI infrastructure. The company is deploying hundreds of thousands of Trainium chips in its Project Rainier supercomputer being delivered to AI startup Anthropic this year. Amazon CEO Andy Jassy, who led AWS when the acquisition occurred, described it as "one of the most important moments" in AWS history.

An anonymous reader shares a report: A new report claims that Nvidia has recently raised the official prices of nearly all of its products to combat the impact of tariffs and surging manufacturing costs on its business, with gaming graphics cards receiving a 5 to 10% hike while AI GPUs see up to a 15% increase.

As reported by Digitimes Taiwan, Nvidia is facing "multiple crises," including a $5.5 billion hit to its quarterly earnings over export restrictions on AI chips, including a ban on sales of its H20 chips to China.

Digitimes reports that CEO Jensen Huang has been "shuttling back and forth" between the US and China to minimize the impact of tariffs, and that "in order to maintain stable profitability," Nvidia has reportedly recently raised official prices for almost all its products, allowing its partners to increase prices accordingly.

An anonymous reader shared this report from the Verge: This morning, while summarizing an Apple "product blitz" he expects for 2027, Bloomberg's Mark Gurman writes in his Power On newsletter that Apple is planning a "mostly glass, curved iPhone" with no display cutouts for that year, which happens to be the iPhone's 20th anniversary... [T]he closest hints are probably in Apple patents revealed over the years, like one from 2019 that describes a phone encased in glass that "forms a continuous loop" around the device.

Apart from a changing iPhone, Gurman describes what sounds like a big year for Apple. He reiterates past reports that the first foldable iPhone should be out by 2027, and that the company's first smart glasses competitor to Meta Ray-Bans will be along that year. So will those rumored camera-equipped AirPods and Apple Watches, he says. Gurman also suggests that Apple's home robot — a tabletop robot that features "an AI assistant with its own personality" — will come in 2027...

Finally, Gurman writes that by 2027 Apple could finally ship an LLM-powered Siri and may have created new chips for its server-side AI processing.
Earlier this week Bloomberg reported that Apple is also "actively looking at" revamping the Safari web browser on its devices "to focus on AI-powered search engines." (Apple's senior VP of services "noted that searches on Safari dipped for the first time last month, which he attributed to people using AI.")

A U.S. senator introduced a bill on Friday that would direct the Commerce Department to require location verification mechanisms for export-controlled AI chips, in an effort to curb China's access to advanced semiconductor technology. From a report: Called the "Chip Security Act," the bill calls for AI chips under export regulations, and products containing those chips, to be fitted with location-tracking systems to help detect diversion, smuggling or other unauthorized use of the product.

"With these enhanced security measures, we can continue to expand access to U.S. technology without compromising our national security," Republican Senator Tom Cotton of Arkansas said. The bill also calls for companies exporting the AI chips to report to the Bureau of Industry and Security if their products have been diverted away from their intended location or subject to tampering attempts.

According to Bloomberg's Mark Gurman, Apple has "made progress" on a chip for a product that could rival the Ray-Ban Meta smart glasses. The company is also reportedly working on glasses that use augmented reality. The Verge reports: The chip is apparently based on the chips Apple uses for the Apple Watch, though the company has removed parts and is being designed in such a way that it can handle the "multiple cameras" that the smart glasses might have, Bloomberg reports. Apple wants mass production of the chip to start by the end of 2026 or sometime in 2027, so the glasses themselves could come out within that timeframe. [...] Apple is developing chips for camera-equipped Apple Watch and Airpods as well, and the goal is for those chips to be ready "by around 2027," Bloomberg says. The company is also developing new M-series chips and dedicated AI server chips, per the report.

According to Bloomberg, the Trump administration plans to revise a set of chip trade restrictions called the "AI diffusion" rule, which were scheduled to take effect on May 15. CNBC reports: The rule, which was proposed in the last days of the Biden administration, organizes countries into three different tiers, all of which have different restrictions on whether advanced AI chips like those made by Nvidia, AMD, and Intel can be shipped to the country without a license.

Chipmakers including Nvidia and AMD have been against the rule. AMD CEO Lisa Su told CNBC on Wednesday that the U.S. should strike a balance between restricting access to chips for national security and providing access, which will boost the American chip industry. Nvidia CEO Jensen Huang said earlier this week that being locked out of the Chinese AI market would be a "tremendous loss."

Microsoft has unveiled a substantial AI-focused update for Windows 11 and Copilot+ PCs, introducing features that leverage neural processing units across the operating system. The update centers on AI-powered helpers across core Windows apps, with an intelligent agent in Settings that can locate and adjust options via natural voice commands. Key additions include expanded Click To Do functionality, allowing users to draft Word content based on screen context, engage Reading Coach, or send details directly to Excel tables.

The Photos app gains a relight feature with support for three customizable light sources, while Paint adds object selection and text-to-sticker generation. Snipping Tool will automatically detect and crop prominent screen content, adding text extraction and color picking capabilities. System-level enhancements include an updated Start menu with phone companion integration, AI-powered actions in File Explorer for content summarization, and text generation in Notepad with new formatting options.

Most features will debut first on Windows Insider builds for Snapdragon-powered Copilot+ PCs before expanding to systems with AMD or Intel chips. Several tools, including Ask Copilot and Reading Coach, are already available to Insiders.

"It is the fastest, most efficient transistor ever," proclaims an announcment from Peking University. "And most important of all, there's no trace of silicon involved," adds ZME Science. From the South China Morning Post: A team of researchers at Peking University claims to have shattered chip performance limits and proven that China can use new materials to "change lanes" in the semiconductor race by circumventing silicon-based roadblocks entirely.

The researchers, led by physical chemistry professor Peng Hailin, said their self-engineered 2D transistor could operate 40 per cent faster than Intel and TSMC's cutting-edge 3-nanometre silicon chips, while consuming 10 per cent less energy.... "While this path is born out of necessity due to current sanctions, it also forces researchers to find solutions from fresh perspectives," [Hailin] added.
"Peking's major innovation comes from the two-dimensional nature of their transistors, facilitated by using an element other than silicon," writes Tom's Hardware: BiâOâSe, or bismuth oxyselenide, is a semiconductor material studied for its use in sub-1nm process nodes for years, largely thanks to its ability to be a 2D semiconductor. Two-dimensional semiconductors, like 2D BiâOâSe, are more flexible and sturdy at a small scale than silicon, which runs into reduced carrier mobility at even the 10nm node. Such breakthroughs into stacked 2D transistors and the move from silicon to bismuth are exciting for the future of semiconductors and are necessary for the Chinese industry to compete on the leading edge of semiconductors.
ZME Science adds this note of skepticism. "Turning laboratory breakthroughs into commercial chips typically takes years — sometimes decades..."

Thanks to Slashdot reader schwit1 for sharing the article.

An anonymous reader quotes a report from Ars Technica: Raspberry Pi boards have a combination of surface-mount devices (SMDs) and through-hole bits. SMDs allow for far more tiny chips, resistors, and other bits to be attached to boards by their tiny pins, flat contacts, solder balls, or other connections. For those things that are bigger, or subject to rough forces like clumsy human hands, through-hole soldering is still required, with leads poked through a connective hole and solder applied to connect and join them securely. The Raspberry Pi board has a 40-pin GPIO header on it that needs through-hole soldering, along with bits like the Ethernet and USB ports. These require robust solder joints, which can't be done the same way as with SMT (surface-mount technology) tools. "In the early days of Raspberry Pi, these parts were inserted by hand, and later by robotic placement," writes Roger Thornton, director of applications for Raspberry Pi, in a blog post. The boards then had to go through a follow-up wave soldering step.

Now Pi boards have their tiny bits and bigger pieces soldered at the same time through an intrusive reflow soldering process undertaken with Raspberry Pi's UK manufacturing partner, Sony. After adjusting component placement, the solder stencil, and the connectors, the board makers could then place and secure all their components in the same stage. Intrusive reflow soldering this way involves putting solder paste on both the pads for SMD bits and into the through-hole pins. The through-hole parts are pushed onto the paste, and the whole board then goes into a reflow oven, where the solder paste melts, the connectors fall in more fully, and joints are formed for all the SMD and through-hole parts at once. You can watch the process up close in this mesmerizing video from Surface Mount Process.

Intrusive reflow soldering is not a brand-new process, but what it did for the Raspberry Pi is notable, according to Thornton. The company saw "a massive 50% reduction in product returns," and it sped up production by 15 percent by eliminating the break between the two soldering stages. By removing the distinct soldering bath from its production line, the company also reduced its carbon dioxide output by 43 tonnes per year (or 47.4 US tons).

Ars Technica's Andrew Cunningham reports: Intel's oddball Core Ultra 200V laptop chips -- codenamed Lunar Lake -- will apparently be a one-off experiment, not to be replicated in future Intel laptop chips. They're Intel's only processors with memory integrated onto the CPU package; the only ones with a neural processing unit that meets Microsoft's Copilot+ performance requirements; and the only ones with Intel's best-performing integrated GPUs, the Intel Arc 130V and 140V.

Today, Intel announced some updates to its graphics driver that specifically benefit those integrated GPUs, welcome news for anyone who bought one and is trying to get by with it as an entry-level gaming system. Intel says that version 32.0.101.6734 of its graphics driver can speed up average frame rates in some games by around 10 percent, and can speed up "1 percent low FPS" (that is, for any given frames per second measurement, whatever your frame rate is the slowest 1 percent of the time) by as much as 25 percent. This should, in theory, make games run better in general and ease some of the stuttering you notice when your game's performance dips down to that 1 percent level.

Microsoft Copilot "isn't doing as well as the company would like," reports XDA-Developers.com (citing a report from startup/VC industry site Newcomer). The Redmond giant has invested billions of dollars and a lot of manpower into making it happen, but as a recent report claims, people just don't care. In fact, if the report is to be believed, Microsoft's rise in the AI scene has already come to a screeching halt:

At Microsoft's annual executive huddle last month, the company's chief financial officer, Amy Hood, put up a slide that charted the number of users for its Copilot consumer AI tool over the past year. It was essentially a flat line, showing around 20 million weekly users. On the same slide was another line showing ChatGPT's growth over the same period, arching ever upward toward 400 million weekly users. OpenAI's iconic chatbot was soaring, while Microsoft's best hope for a mass-adoption AI tool was idling. It was a sobering chart for Microsoft's consumer AI team...

That's right; Microsoft Copilot's weekly user base is only 5% of the number of people who use ChatGPT, and it's not increasing. It's also worth noting that there are approximately 1.5 billion Windows users worldwide, which means just over 1% of them are using Copilot, a tool that's now a Windows default app....

It's not a huge surprise that Copilot is faltering. Despite Microsoft's CEO claiming that Copilot will become "the next Start button", the company has had to backtrack on the Copilot key and allow people to customise it to do something else, including giving back its original feature of the Menu key.
They also note earlier reports that Intel's AI PC chips aren't selling well.