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Plan includes chatbots 'with full user context and data access' – what could go wrong?

US government buyers have been busy getting AI into the hands of federal agencies, and now they're taking a moment to ask the industry how some of that AI magic could work for them. …

Toronto company says weekend cyber raid hit internal IT, not punters' wallets

Canadian casino software slinger Bragg Gaming Group has disclosed a "cybersecurity incident," though it's adamant the intruders never got their hands on customer data.…

Bill Gates is funding a $1 million competition to spur the use of AI to find innovative treatments for Alzheimer's disease, the latest effort to deploy the promising technology to find cures for humanity's toughest illnesses. From a report: The Alzheimer's Insights AI prize will be awarded to the team that comes up with the most original way to program AI-powered agents that are "capable of independent planning, reasoning, and action to accelerate breakthrough discoveries from existing Alzheimer's data." Â The winning tool will be released for free on the Alzheimer's Disease Data Initiative's cloud "workbench" to be used by scientists globally, the organisation said on Tuesday. The prize is being financed by Gates Ventures, the family office of the billionaire philanthropist and Microsoft co-founder.

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Unexpected news from Pine64, but there are other goodies to compensate

Pine64 is moving from Arm kit to RISC-V. As a result, its higher-end open smartphones is for the chop – but not the lower-end model.…

The GenAI Divide: State of AI in Business 2025, a new report published by MIT's NANDA initiative, reveals that while generative AI holds promise for enterprises, most initiatives to drive rapid revenue growth are falling flat. Fortune: Despite the rush to integrate powerful new models, about 5% of AI pilot programs achieve rapid revenue acceleration; the vast majority stall, delivering little to no measurable impact on P&L. The research -- based on 150 interviews with leaders, a survey of 350 employees, and an analysis of 300 public AI deployments -- paints a clear divide between success stories and stalled projects. To unpack these findings, I spoke with Aditya Challapally, the lead author of the report, and a research contributor to project NANDA at MIT. "Some large companies' pilots and younger startups are really excelling with generative AI," Challapally said. Startups led by 19- or 20-year-olds, for example, "have seen revenues jump from zero to $20 million in a year," he said. "It's because they pick one pain point, execute well, and partner smartly with companies who use their tools," he added. But for 95% of companies in the dataset, generative AI implementation is falling short. The core issue? Not the quality of the AI models, but the "learning gap" for both tools and organizations. While executives often blame regulation or model performance, MIT's research points to flawed enterprise integration. Generic tools like ChatGPT excel for individuals because of their flexibility, but they stall in enterprise use since they don't learn from or adapt to workflows, Challapally explained.

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Dame Rachel de Souza says under-18s are laughing off the Online Safety Act’s age blocks

England's children's commissioner has urged the government to shut down one of the most obvious loopholes in its new age-blocking regime: kids firing up a VPN.…

Report recommends that the UK become a leader in chip design

The British government's advisory body on science and technology thinks the country could be a world leader in designing AI chips, if it could just get the right investment and skills in place.…