In their proposal, the group had listed several "aspects of the artificial intelligence problem." The last item on their list, and in hindsight perhaps the most difficult, was building a machine that could exhibit creativity and originality. At the time, psychologists were grappling with how to define and measure creativity in humans. The prevailing theory--that creativity was a product of intelligence and high IQ--was fading, but psychologists weren't sure what to replace it with. The Dartmouth organizers had one of their own.

In this blog post, Dominik Vrabič Dežman provides a summary of his recent research article, 'Promising the future, encoding the past: AI hype and public media imagery'. Dominik also draws attention to the algorithms which perpetuate the dominance of familiar and sensationalist visuals and calls for movements which reshape media systems to make better images of AI more visible in public discourse. The full paper is published in the AI and Ethics Journal's special edition on'The Ethical Implications of AI Hype, a collection edited by We and AI. AI promises innovation, yet its imagery remains trapped in the past. Deep-blue, sci-fi-inflected visuals have flooded public media, saturating our collective imagination with glowing, retro-futuristic interfaces and humanoid robots.

The International Prize in Statistics Foundation has awarded Grace Wahba the 2025 prize for "her groundbreaking work on smoothing splines, which has transformed data analysis and machine learning". Professor Wahba was among the earliest to pioneer the use of nonparametric regression modeling. Recent advances in computing and availability of large data sets have further popularized these models, especially under the guise of machine learning algorithms such as gradient boosting and neural networks. Nevertheless, the use of smoothing splines remains a mainstay of nonparametric regression. In seminal research that began in the early 1970s, Wahba developed theoretical foundations and computational algorithms for fitting smoothing splines to noisy data.

Nvidia has said it expects a 5.5bn ( 4.1bn) hit after Donald Trump's administration barred the chip designer from selling crucial artificial intelligence chips in China, sending shares in one of the US's most valuable companies plunging in after-hours trading. The company said in an official filing late on Tuesday that its H20 AI chip, which was designed specifically for the Chinese market to comply with export controls, would now require a special licence to sell there for the "indefinite future". The US government, which is battling China in the race for AI supremacy, told Nvidia the new rules were designed to address the risk that its products might be "used in, or diverted to, a supercomputer in China". The chip designer now expects to report 5.5bn in charges in its financial quarter that ends on 27 April, because of stocks of H20 chips and sales commitments. Nvidia, whose chips have helped drive huge developments in artificial intelligence technology in recent years, has produced extraordinary returns for its investors.

President Trump announces the U.S. Stargate investment alongside three artificial intelligence industry leaders. President Donald Trump's high-tech moonshot may hit a Texas-sized speed bump -- and it's coming from his own party. Trump's AI initiative, dubbed "Stargate," aims to build 20 ultra-powerful data centers across the country. Backed by heavyweights like OpenAI, Oracle, SoftBank, and the UAE-funded MGX, the project represents a 500 billion bet on the future with Texas chosen as ground zero for the first 10 centers. But a new Texas bill, Senate Bill 6, could delay or derail that momentum.

Kuala Lumpur, Malaysia – China's President Xi Jinping has arrived in Malaysia as part of a Southeast Asian tour which is seen as delivering a personal message that Beijing is a more reliable trading partner than the United States amid a bruising trade war with Washington. Xi arrived in the capital, Kuala Lumpur, on Tuesday evening in what is his first visit to Malaysia since 2013. He flew in from Vietnam where he had signed dozens of trade cooperation agreements in Hanoi on everything from artificial intelligence to rail development. On touching down, Xi said that deepening "high-level strategic cooperation" was good for the common interests of both China and Malaysia, and good for peace, stability and prosperity in the region and the world", according to the official Malaysian news agency Bernama. Xi's three-country tour and his "message" that Beijing is Southeast Asia's better friend than the truculent administration of US President Donald Trump comes as many countries in the 10-member Association of Southeast Asian Nations (ASEAN) bloc are unhappy with their treatment after the US imposed huge tariffs on countries around the world. "This is a very significant visit.

Police have arrested four people for selling obscene images created using generative AI in the first crackdown of its kind, a police spokesperson and local media reports said Tuesday. The four, who allegedly made posters and sold them online, "were arrested on Monday on suspicion of selling obscene images," a Tokyo police spokesperson said. They sold them on auction sites several times last October, criminal acts for which they face up to two years in prison, fines of up to 2.5 million ( 17,500), or both, he said. Public broadcaster NHK and other media outlets said the suspects had used free AI software to create images of naked adult women, who do not exist in the real world, using prompts that included terms such as "legs open." The four, in their 20s to 50s, reportedly sold the posters for several thousand yen each.

Nvidia announced on Tuesday that the US government had told it last week that the H20 chip required a permit to be sold to China, including Hong Kong. The tech giant said federal officials had advised them the licence requirement "will be in effect for the indefinite future". "The [government] indicated that the license requirement addresses the risk that the covered products may be used in, or diverted to, a supercomputer in China," Nvidia said. The company declined to comment further when contacted by the BBC. Marc Einstein from the Counterpoint Research consultancy said the 5.5bn hit estimated by Nvidia was in line with his estimates.

The advertising watchdog says it has been using AI to proactively search for online ads that might break the rules. Three of the clinics - Beautyjenics, Bomb Doll Aesthetics and Ccskinlondondubai -did not respond to the ASA's inquiries. Rejuvenate Clinics said it has reviewed ASA guidance and will remove all references to time-limited offers and state in ads that the surgery is carried out by a medical professional with ultrasound, to minimise risks and enhance safety. EME Aesthetics said all its clients are given a full consultation and are under no obligation to book any procedures, and it therefore considers that its ad had not pressured consumers or trivialised the risks of cosmetic procedures. Dr Ducu said it will ensure it follows the ASA's rules and guidance, that the time-limited Black Friday offer was intended to provide consumers with an opportunity to access the company's services at a discounted rate, and it always encourages consumers to make informed decisions without pressure.

The intersection of deep learning and symbolic mathematics has seen rapid progress in recent years, exemplified by the work of Lample and Charton. They demonstrated that effective training of machine learning models for solving mathematical problems critically depends on high-quality, domain-specific datasets. In this paper, we address the computation of Gr\"obner basis using Transformers. While a dataset generation method tailored to Transformer-based Gr\"obner basis computation has previously been proposed, it lacked theoretical guarantees regarding the generality or quality of the generated datasets. In this work, we prove that datasets generated by the previously proposed algorithm are sufficiently general, enabling one to ensure that Transformers can learn a sufficiently diverse range of Gr\"obner bases. Moreover, we propose an extended and generalized algorithm to systematically construct datasets of ideal generators, further enhancing the training effectiveness of Transformer. Our results provide a rigorous geometric foundation for Transformers to address a mathematical problem, which is an answer to Lample and Charton's idea of training on diverse or representative inputs.