Abi uses AI and machine learning to interact with aged care and assisted living residents. Abi uses AI and machine learning to interact with aged care and assisted living residents. An industry targeting Australia's ageing population is growing, but can AI deliver more humanity in aged care? While companion robots are being introduced and virtual experiences hope to'take loneliness away', one expert agrees tech should never replace the human element "You'll never get rid of humans," Prof Wendy Moyle says, during a discussion about robots and other technology in aged care and residential homes. Then, a beat later, she adds: "Well, I don't we'll get rid of humans."

The film forms part of a research project undertaken by Alan Warburton which also includes a research paper and a series of satellite events. The film is based on doctoral research undertaken at Birkbeck's Vasari Centre for Art & Technology. It was commissioned by the National Videogame Museum in collaboration with the Open Data Institute (ODI) and Cambridge University's Leverhulme Centre for the Future of Intelligence . The ODI hosted a webinar on 6 May to discuss the content of the film. The panellists explored what AI can and can't do, what effects a collapse of real and virtual could have on visual culture, and if we're living in a post-truth world.

Just a week after an AI disproved an 80-year-old conjecture and astonished mathematicians, another conjecture that had stood for half a century has fallen, inspired by the same techniques, but this time written entirely by humans. Last week, an unreleased AI model from OpenAI disproved an important conjecture first posed by Hungarian mathematician Paul Erdős, called the unit distance problem. The puzzle, which Erdős considered his "most striking contribution to geometry" and which many mathematicians had failed to unravel, concerns the number of similar-sized connections you can make between dots arranged on a flat surface. Erdős had set an upper ceiling on this number, which many experts had assumed was correct. But the AI model showed that this number could in fact be much larger, using an obscure trick from algebraic number theory to make complex structures with extremely high dimensions, which could then be used to arrange the dots in a very different arrangement than humans had considered.

Mathematicians have never been so sought after by the world's richest people. At universities across the world, academics are seeing their colleagues mysteriously disappear and join private companies. Some of these companies are household names, like OpenAI and Google, but others are newly formed and just months old, hoping to capitalise on a moment in which mathematics is seen as the secret ingredient with which to improve artificial intelligence - which may in turn transform mathematics itself. "Last May, I was honestly kind of grieving for my scientific identity," says Ken Ono, who in 2025 went on leave from a professorship at the University of Virginia to join Axiom Math, a start-up aiming to build a maths-focused AI. Ono had been asked by a different company, called Epoch AI, to help craft a set of hard-to-solve maths problems that would test AI's problem-solving ability .

The Centers for Research in Emerging Infectious Diseases were launched during the Covid-19 pandemic. The group lost its funding under Trump in part due to conspiracy theories. As the world struggles to contain the rapidly growing Ebola outbreak in the Democratic Republic of Congo's Ituri province, a vital network of research centers has been unable to help on the ground. The reason: The Trump administration slashed its funding last year, in part due to conspiracy theories about the origins of Covid-19. Established in 2020 by the National Institutes of Health, the Centers for Research in Emerging Infectious Diseases (CREID) Network was conducting research into viruses that emerge from wildlife and spill over to people, including the family of viruses that Ebola belongs to.

It is one thing to say AI will change the world. It is another to expect the class of 2026 to applaud it. In fact, when former Google CEO Eric Schmidt told University of Arizona graduates that their task is to help shape AI, he was met with a resounding chorus of boos. "I can hear you," he said, before conceding that fears about disappearing jobs and a broken future were "rational." This is not exactly the message one hopes to hear while sweating under a polyester gown and tallying student loan payments. Graduates have been jeering at AI pep talks at other commencements too, including ceremonies at the University of Central Florida and Middle Tennessee State University.

Simone Bombari asked us whether the 1-bit quantized random vector Y = sgn(Wx) has subgaussian norm bounded by a universal constant. Here W is an n n random Gaussian matrix, and x is an independent standard normal random vector in Rn. The question is nontrivial since the coordinates of Y are not independent. We give a strong positive answer to this question - for any bounded map instead of sgn() - using AI: AIDiscovery and Generalization (Theorem 1): To handle coordinate dependence, Gemini 3.5 Flash1 proposed decomposing the Gaussian vector into independent parts, using one part to "smooth" the sign function, and then applying Gaussian concentration for Lipschitz functions.

You probably wouldn't notice if an AI chatbot slipped ads into its responses Hundreds of millions of people consult artificial intelligence chatbots on a daily basis for everything from product recommendations to romance, making them a tempting audience to target with potentially below-the-radar advertising. Indeed, our research suggests AI chatbots could easily be used for covert advertising to manipulate their human users. We are computer scientists who have been tracking AI safety and privacy for several years. In a study we published in an Association for Computing Machinery journal, we found that chatbots trained to embed personalized product ads in replies to queries influenced people's choices about products. And most participants didn't recognize that they were being manipulated.

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Mathematicians stunned by AI's biggest breakthrough in mathematics yet An 80-year-old maths conjecture that has eluded the world's greatest mathematicians has been cracked by an artificial intelligence model built by OpenAI. The result has stunned experts and is being hailed as a seismic moment for AI's mathematical ability. "This is a problem that I didn't expect to see solved in my lifetime," says Misha Rudnev at the University of Bristol, UK. "It's absolutely a bomb." Tim Gowers at the University of Cambridge wrote that the solution is "a milestone in AI mathematics" in a blog post accompanying the work . "If a human had written the paper and submitted it to the and I had been asked for a quick opinion, I would have recommended acceptance without any hesitation. No previous AI-generated proof has come close to that."