AI is nearly exclusively designed by men - here's how to fix it With the Trump administration's attacks on so-called woke AI it is becoming even harder to make the technology we use fairer and more diverse. It's day two of the conference at the Royal Society in London, but I'm finding it increasingly hard to concentrate on the speakers because my AI transcription software - which is supposed to make my life easier - keeps insisting on mistyping someone's name. The irony isn't lost on me: this is the session about artificial intelligence, and specifically about how women are being erased from the latest AI technologies. This is much bigger than the now-familiar idea that AI algorithms carry the biases of the datasets they are trained on, including gender bias. Instead, the focus of the conference session, chaired by computer scientist Wendy Hall, is seeking to address a more fundamental issue: the fact that new AI technologies, which will have a transformative effect on all of society, are being designed almost exclusively by men.

The speed at which artificial intelligence is gaining in mathematical ability has taken many by surprise. Are the days of handwritten mathematics coming to an end? In March 2025, mathematician Daniel Litt made a bet. Despite the march of progress of artificial intelligence in many fields, he believed his subject was safe, wagering with a colleague that there was only a 25 per cent chance an AI could write a mathematical paper at the level of the best human mathematicians by 2030. Only a year later, he thinks he was wrong.

Chris Maddison was just an intern when he started working on the Go-playing AI that would eventually become AlphaGo. In March 2016, Google DeepMind's artificial intelligence system AlphaGo shocked the world. In a stunning five-match series of Go, the ancient Chinese board game, the AI beat the world's best player, Lee Sedol - a moment that was televised in front of millions and hailed by many as a historic moment in the development of artificial intelligence. Chris Maddison, now a professor of artificial intelligence at the University of Toronto, was then a master's student and helped get the project off the ground. Alex Wilkins: How did the idea for AlphaGo first come about?

Has the technology lived up to its potential? The first time that AlphaGo revealed its full power, it prompted a visceral reaction . Lee Sedol, the world's greatest player of the ancient Chinese board game Go, had grown visibly agitated at the artificial intelligence's prowess. The hushed crowd in downtown Seoul, South Korea, could barely contain its gasps. It was quickly dawning on Lee, and the tens of millions watching at home, that this AI was different to those that had come before. It wasn't just beating Lee, but it was doing so with an almost human-like aptitude.

Craig Federighi's opening remarks were nearly derailed by a protester who snuck into WWDC 2025 Monday afternoon. It's not clear what the protester said while they tried to interrupt Federighi's presentation of iOS 26, CNBC reported. Several major technology events have been interrupted by protests recently, most of which supported Hamas and protested the tech industry's business ties to the Israeli government. Apple CEO Tim Cook closed out Monday presentation of the company's new operating system by announcing that iOS 26 is now available to developers for Beta testing today. That means a pre-release version of the iOS 26 operating system for iPhones is now accessible for registered Apple developers to test.

Today's keynote for Apple's Worldwide Developers Conference teased a lot of what users can expect later this year when all of its major software updates roll out. Big changes coming to iOS 18, macOS Sequoia and watchOS 11 include RCS support, a new Passwords app, a revamped Calculator app and a bunch of artificial intelligence (AI) infusions across the board thanks to the new "Apple Intelligence" system. If you weren't able to catch the news live, here's a rundown of everything announced at WWDC 2024. Apple revealed its plans to incorporate AI into its operating systems at WWDC this year. Dubbed "Apple Intelligence," this new generative AI system will appear in iOS and iPad 18 and macOS Sequoia in the form of (what Apple believes to be) practical tools that most people can use regularly.

The popular farming sim and ultimate cozy game, Stardew Valley, dropped a major update on Tuesday after months of anticipation. Stardew's 1.6 update has an insane amount of new content that touches every area of the game, from new menus and DIYs, to a new farm layout, new crops, and the ability to have multiple pets and play with seven friends at once. It's enough updates to make the game feel fresh, but isn't so new that you can't ease back into a beloved farm and toil away. It's important to note here that the free update is currently only available for PC players. The update will come to mobile and consoles like the Nintendo Switch later on.

How many times it happens that after developing a great Machine Learning model, we hear'Good Job', which is first followed by hurdles to deploy then ultimately leaving it as a'showcase model'. How many times we get Business Approval to pilot a model, but we face constraints related to systems or data which leaves us wanting. With current upsurge of Machine learning and new computing technologies, business are demanding deployments of analytics solutions rather than just focusing on showcase models. To bridge the gap, we can follow few easy steps during formulation of our machine learning model and take massive step forward for deploying the solutions. The whole journey of Analytics starts with defining what we are planning to achieve.

While a few days late for summer, the water park aesthetic matches the sunny, outdoors vibe everyone on this planet could use. But all is not well. Certain locations like Pleasant Park were preserved with floating platforms, while others like Weeping Woods are all but gone. Old haunts like Sweaty Sands and Steamy Stacks still exist in the map. If you drop into the water, you'll get a quick peek to see all these locations are now submerged.

Eric Topol is an American cardiologist and geneticist – among his many roles he is founder and director of the Scripps Research Translational Institute in California. He has previously published two books on the potential for big data and tech to transform medicine, with his third, Deep Medicine, looking at the role that artificial intelligence might play. He has served on the advisory boards of many healthcare companies, and last year published a report into how the NHS needs to change if it is to embrace digital advances. Your field is cardiology – what makes you tick as a doctor? I was in clinic all day yesterday – I love seeing patients – but I also try to use whatever resources I can, to think about how can we do things better, how can we have much better bonding, accuracy and precision in our care.