China had previously restricted the import of Nvidia's H200 chips on concerns that a flood of American-designed AI processors would hinder the government's long-held goal of developing an indigenous chip industry. China plans to allow its top artificial intelligence companies to buy a limited number of H200 chips from Nvidia, a sign the country is easing restrictions on the coveted U.S. technology, according to The Information news site. Chinese officials have informed companies such as Alibaba Group Holding, ByteDance and DeepSeek that they will have permission to purchase some of the processors, which are used to develop AI models, the news site said Wednesday. The companies need to say how many chips they need -- and why -- to get approval, according to The Information. The chips have emerged as a geopolitical flash point for the world's two largest economies.

PCWorld's battery testing reveals AMD's Ryzen AI 7 445 processor delivers disappointing battery life performance in laptops like the Acer Swift Go 14 AI. The chip ranked last in streaming tests and efficiency scores, falling behind Qualcomm's Snapdragon X Elite and Intel's Core Ultra processors. With Ryzen AI 400 processors appearing in about a third of productivity laptops, users may want to consider Intel or Qualcomm alternatives for better battery performance. AMD's Ryzen mobile processors appear in about a third of all productivity laptops sold today. So, how does the Ryzen AI 400, AMD's latest mobile processor, actually hold up in real-world battery tests?

When you purchase through links in our articles, we may earn a small commission. Like, why should laptop buyers invest in a new PC right now? Especially given the astronomical component prices. Should buyers invest in a new budget processor like Intel's Wildcat Lake? I don't dislike Lenovo's 15-inch IdeaPad Slim 3i, which boasts a brand-new Intel Core Series 3 chip. This "Wildcat Lake" chip is a stripped-down version of Intel's superb Panther Lake processor, and it sort of feels like it is right out of the box. But the performance is blah, and a recent Snapdragon version of this IdeaPad laptop seems to offer more for the money.

The very challenging task of learning solution operators of PDEs on arbitrary domains accurately and efficiently is of vital importance to engineering and industrial simulations. Despite the existence of many operator learning algorithms to approximate such PDEs, we find that accurate models are not necessarily computationally efficient and vice versa. We address this issue by proposing a geometry aware operator transformer (GAOT) for learning PDEs on arbitrary domains. GAOT combines novel multiscale attentional graph neural operator encoders and decoders, together with geometry embeddings and (vision) transformer processors to accurately map information about the domain and the inputs into a robust approximation of the PDE solution. Multiple innovations in the implementation of GAOT also ensure computational efficiency and scalability. We demonstrate this significant gain in both accuracy and efficiency of GAOT over several baselines on a large number of learning tasks from a diverse set of PDEs, including achieving state of the art performance on three large scale three-dimensional industrial CFD datasets. Our project page for accessing the source code is available at camlab-ethz.github.io/GAOT.

When you purchase through links in our articles, we may earn a small commission. Mini PCs are affordable, compact alternatives to standard desktops! Amazon Prime Day is one of the best times of the year to score a mini PC deal. These compact machines have exploded in popularity thanks to their tiny footprints, surprisingly strong performance, and wallet-friendly prices. Whether you need a capable productivity box, a living-room PC, or even a compact gaming rig, Prime Day is packed with discounts worth considering.

PCWorld reports AMD is reintroducing three mobile processors from 2019-2020, including Ryzen 3 3100U, Ryzen 5 3501U, and Ryzen 4700LE for budget laptops. This strategy addresses rising PC prices by offering significantly cheaper alternatives to current Ryzen AI 400 series chips through select OEMs in limited volumes. Intel is also rumored to pursue similar re-releases, highlighting industry-wide efforts to provide affordable computing solutions for cost-conscious consumers. AMD has resuscitated three mobile chips from 2019 and 2020 to ship to PC makers asking for cheaper processors for budget PCs, the company confirmed. AMD is now offering the AMD Ryzen 3 3100U and the the Ryzen 5 3501U, based on the Zen+ (Ryzen 3000 Mobile / Picasso) architecture it launched in 2019.

PCWorld compares Nvidia's RTX Spark and Qualcomm's Snapdragon X2 Elite processors for AI-powered mini PCs, highlighting their distinct strengths for different use cases. Qualcomm's chip excels in single-core performance and general productivity tasks, while Nvidia's platform dominates AI content creation and gaming with its RTX 5070-equivalent GPU. The choice depends on specific needs, as both face compatibility challenges with some applications requiring emulation or specialized optimization for optimal performance. One big thing changed at Computex this past week: Windows on Arm processors became the next big thing for Windows desktops, specifically for mini PCs designed for productivity and AI applications. So which Arm processor is the best bet? Until they hit our test bench, we can't say for sure.

PCWorld reports that budget Windows laptops are becoming competitive again with new Intel Wildcat Lake and Qualcomm Snapdragon C processors targeting $300-$449 price points. These chips promise significant performance improvements and all-day battery life, with major manufacturers like Acer, HP, and Lenovo planning affordable models. The emerging budget laptops offer a strong alternative to expensive options like Apple's MacBook Neo, making powerful computing accessible to more consumers. Two years ago, budget PCs were often passed over in favor of expensive, premium laptops. Now, they're all anyone can talk about.