Since 2021, China has reportedly poured $100bn into support for AI datacentres. Since 2021, China has reportedly poured $100bn into support for AI datacentres. Beijing's AI policy is focused on real-life applications but Chinese companies are beginning to articulate their own grand visions S tanding on stage in the eastern China tech hub of Hangzhou, Alibaba's normally media-shy CEO made an attention-grabbing announcement. "The world today is witnessing the dawn of an AI-driven intelligent revolution," Eddie Wu told a developer conference in September. " Artificial general intelligence (AGI) will not only amplify human intelligence but also unlock human potential, paving the way for the arrival of artificial superintelligence (ASI)."

President Trump signed a proclamation on Wednesday to impose a 25 percent tariff on a narrow list of foreign semiconductors, providing a way for the government to earn revenue off the sale of lucrative chips used in artificial intelligence. The tariff, which would take effect Thursday, is far more limited than what the president initially threatened. Last year, the administration began an investigation aimed at encouraging tech companies and chip makers to buy semiconductors made in America. But instead of approving sweeping tariffs that would affect the industry, Wednesday's announcement showed the administration has settled for narrower levies that allow it to take a cut of artificial intelligence chips sold to China. A document released by the White House said a 25 percent tariff would be put on A.I. chips made by companies like Nvidia and AMD that are imported into the United States and then re-exported to other countries. The tariff would not apply to semiconductors that are brought into the country to be used domestically in data centers or in products for American consumers, industry or the government.

US approves sale of Nvidia's advanced AI chips to China The US government has given chip giant Nvidia the green light to sell its advanced artificial intelligence (AI) processors in China, the Department of Commerce said on Tuesday. The H200, Nvidia's second-most-advanced semiconductor, had been restricted by Washington over concerns that it would give China's technology industry and military an edge over the US. The Commerce Department said the chips can be shipped to China granted that there is sufficient supply of the processors in the US. President Donald Trump said last month that he would allow the chip sales to approved customers in China and collect a 25% fee. Nvidia's spokesperson told the BBC that the company welcomed the move, saying it will benefit manufacturing and jobs in the US.

It sounds like science fiction - a factory, located hundreds of kilometres above the Earth, churning out high-quality materials. But a Cardiff-based company is a step closer to making this a reality. Space Forge have sent a microwave-sized factory into orbit, and have demonstrated that its furnace can be switched on and reach temperatures of around 1,000C. They plan to manufacture material for semiconductors, which can be used back on Earth in electronics in communications infrastructure, computing and transport. Conditions in space are ideal for making semiconductors, which have the atoms they're made of arranged in a highly ordered 3D structure.

US President Donald Trump has announced that he will allow AI chip giant Nvidia to sell its advanced H200 chips to approved customers in China. We will protect National Security, create American Jobs, and keep America's lead in AI, Trump said on social media on Monday. The decision will apply to other US chip companies like AMD and comes after extensive lobbying by Nvidia boss Jensen Huang, who visited Washington last week to drum up support. Nvidia - both the world's leading chip firm and most valuable company - has found itself at the centre of a geopolitical tug-of-war between the US and China in recent months, and had been banned from selling its most advanced chips to Beijing. Trump reversed the chip-selling ban in July, but demanded that Nvidia pay 15% of its Chinese revenues to the US government. Beijing then reportedly ordered its tech companies to stop buying Nvidia chips manufactured for use in the Chinese market.

Yttrium plays a critical role in everything from aircraft engines to semiconductors. China controls the vast majority of the market--and that's not changing anytime soon. The alarm hasn't yet reached the general public, but tension is beginning to build in the corridors of the aerospace industry, in microchip laboratories, and in government offices. For months, an element almost invisible to the world--yttrium--has become the silent center of a new global dispute. Supplies are thinning, prices are skyrocketing, deliveries are stalling.

Thermoelectrics (TEs) are promising candidates for energy harvesting with performance quantified by figure of merit, $ZT$. To accelerate the discovery of high-$ZT$ materials, efforts have focused on identifying compounds with low thermal conductivity $κ$. Using a curated dataset of 71,913 entries, we show that high-$ZT$ materials reside not only in the low-$κ$ regime but also cluster near a lattice-to-total thermal conductivity ratio ($κ_\mathrm{L}/κ$) of approximately 0.5, consistent with the phonon-glass electron-crystal design concept. Building on this insight, we construct a framework consisting of two machine learning models for the lattice and electronic components of thermal conductivity that jointly provide both $κ$ and $κ_\mathrm{L}/κ$ for screening and guiding the optimization of TE materials. Among 104,567 compounds screened, our models identify 2,522 ultralow-$κ$ candidates. Follow-up case studies demonstrate that this framework can reliably provide optimization strategies by suggesting new dopants and alloys that shift pristine materials toward the $κ_\mathrm{L}/κ$ approaching 0.5 regime. Ultimately, by integrating rapid screening with PGEC-guided optimization, our data-driven framework effectively bridges the critical gap between materials discovery and performance enhancement.

US President Donald Trump is arriving in Asia for a whirlwind week of diplomacy, which includes a much-anticipated meeting with his Chinese counterpart, Xi Jinping. Top of the agenda between the two will be trade - an area where tensions between the world's two biggest economies have once again been ramping up. Trump lands in the Malaysian capital, Kuala Lumpur, as a summit for the Association of Southeast Asian Nations, or Asean, begins on Sunday. He will then visit Japan and finally South Korea, where the White House says he will meet Xi. So what are the wins Trump and other leaders are hoping for, and what are the pitfalls?

Why has Dutch government taken control of China-owned chipmaker Nexperia? The Dutch government has intervened to take effective control of technology group Nexperia, which is owned by Chinese group Wingtech Technology. The decision comes amid a growing rift between China and the West over the development of technology such as computer chips and semiconductors, which are essential components for the manufacture of artificial intelligence (AI) technology. Here is more about what the Dutch government announced, why and what happens next. What has the Dutch government announced?

Lorenzo Servadei and his team at Sony AI are focused on researching and developing machine learning models to aid chip design and manufacturing. In this interview, Lorenzo tells us more about Electronic Design Automation, and how machine learning has been added into the mix to further advance the field of semiconductor chip design. What was your inspiration for pursuing a career in AI and semiconductors? When I was pursuing my Master's degree, I studied subjects related to traditional computer science and algorithmics - before AI was seen as a specific area of study - which led me into the field of software development. While working in software development, I had the opportunity to join a semiconductor company that was seeking AI experts, which allowed me to explore the algorithmic aspects of AI.