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Jason Arday, the former University of Cambridge professor at the centre of a plagiarism row, has been found dead. Emergency services said a man was found unresponsive at an address in Battersea, south London, on Friday afternoon. Metropolitan Police officers were called by the London Ambulance Service. A 41-year-old man was pronounced dead at the scene and his next of kin have been informed, the force said. Arday resigned as a Cambridge professor of sociology of education last week after allegations of plagiarism and questions about some of his achievements.

Thames Water paid its finance chief a £1m signing-on fee in July as the company struggles with a mountain of debt and faces temporary nationalisation. Steve Buck joined the company in April 2025 but it is understood the seven-figure payment was not made until last month after the company had taken legal advice over its contractual obligations. The existence of the payment, first reported by Sky News,, external was apparently revealed in a letter from the Thames Water chairman to MPs on the Commons Environment, Food and Rural Affairs Committee. The money is believed to have come from emergency funding provided by Thames Water's lenders. The utility company owes roughly £20bn and has been working with creditors and government officials to find a way forward.

For years now, executives at companies that are pouring hundreds of billions of dollars a year into developing various artificial intelligence tools have insisted that the technology will ultimately mean people will spend less of their time working. An engineering director at Google said four years ago that AI would deliver a four-day work week by 2025, external . Earlier this year, and just one year after that engineering director's prediction, OpenAI took up the challenge, in a manner of speaking. It formally urged companies to start testing out a four-day work week (with no change in pay), claiming that AI will soon be able to speed up so much human labour that the corporate world should prepare itself. However, a former OpenAI technical employee who left the company last year told the BBC the firm never actually trialled the four-day work week it suggested others should try while they were there.

You're viewing the US edition You can switch to the UK or AU homepage at any time using this menu. Hundreds of families thought they were buying their slice of the American dream... but now they claim surprise'eyesore' has cost them THOUSANDS of dollars and ruined their lives: 'We're trapped' Southern elementary school erupts as parents bitterly divided over new transgender teacher... with furious families clashing over claims children are'too young' for a'biological male in a dress' Meghan wears Princess Diana's diamond and sapphire earrings as she steps out with Prince Harry to support music mogul friend David Foster WNBA players' union turns on Sophie Cunningham with bombshell statement on'hate, abuse, and demonization' of trans people SARAH VINE: Why, after ten years of Harry and Meghan, these TWO little-known incidents stay with me. But for all her mistakes, she's not solely responsible for the shambles that followed Hollywood angst over Justin and Hailey Bieber's marriage is ...

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US researchers have announced the creation of new viruses using artificial intelligence, a scientific first that raises hopes for advances in medical treatments while also stoking anxiety about the dangers of the frontier technology. In findings published in the journal Science, researchers at Stanford University and the Broad Institute of MIT and Harvard said they used a naturally occurring phage - a type of virus that infects bacteria - as a template to generate thousands of genomes with AI. In tests, a mixture of the synthetic viruses proved more effective at killing E coli bacteria than the naturally occurring viruses, according to the findings. "Our approach expands what synthetic genomics can achieve alongside methods such as directed evolution and rational engineering, lays out a path for generating adaptive and resilient phage therapies against rapidly evolving pathogens, and establishes a foundation for the generative design of larger, more complex genomes," the researchers wrote in Science. Brian Hie and Samuel King, two of the paper's authors, did not immediately respond to requests for comment.

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Dr François Pachet is an AI researcher and musician, and one of the most influential figures in AI and music. His innovative contributions have defined the field over the past decades through creative systems such as the Continuator, and Flow Machines, among others. After leading the Spotify Creator Technology Research Lab and the Sony Computer Science Lab, he went on to create his own companies: Imagine All The People and Ynosound. In the context of IJCAI2025, he spoke about what deep learning changed, and what still remains wide open. He explains why tools like Suno and Udio--ChatGPT-like platforms for music generation--can produce astonishing results that still feel unsatisfying; why the next step for music generation requires combining sampling with search; and why the most important problems in artistic domains are, by nature, ill-defined--because there is no loss function to determine what is "good". Above all, he defends the importance of researcher autonomy: work on the questions that genuinely fascinate you, even when they fall outside prevailing trends--perhaps especially then. Thank you for joining me for this interview. Could you begin by telling us when was your first IJCAI and a memory related to it? I think the first IJCAI I attended was in Montreal in '95. I was there for a couple of workshops, one of them was about music and AI, and the other one I think was on advisor systems, something like that. And I remember there was a French colleague who was there also, at the time he was doing his PhD. And there was this researcher called Herbert Simon, who is a Nobel Prize pioneer of AI. I remember having chatted a little bit with this French guy who was very bold, and he just went up to Simon, said "Hey," and he started a conversation with him. And I was very impressed by the fact that you could meet those kinds of guys informally in a corridor or something at this conference.

Humans have been successfully trained to spot AI-generated faces in a study led by researchers at the Australian National University (ANU) Emotions and Faces Lab. AI-generated deepfake faces have become so realistic that it is difficult for people to tell them apart from photos of real humans, contributing to increases in AI-related fraud. "Training on visual artifacts, like looking for a sixth finger or odd earrings, has had limited success, partly because the AI is getting too good, and fraudsters may avoid using pictures with obvious flaws anyway," lead researcher Associate Professor Amy Dawel said. "Our training directs people's attention to global qualities that differ between AI and human faces. AI faces tend to be more symmetrical, proportional and attractive, but without training we often think these are markers of being human."