Artificial Intelligence news

New York Times correspondent’s conversation with Microsoft’s search engine reveals yearning for destruction … and romanceIn the race to perfect the first major artificial intelligence-powered search engine, concerns over accuracy and the proliferation of misinformation have so far taken centre stage.But a two-hour conversation between a reporter and a chatbot has revealed an unsettling side to one of the most widely lauded systems – and raised new concerns about what AI

Technologist and researcher Aviv Ovadya isn’t sure that generative AI can be governed, but he thinks the most plausible means of keeping it in check might just be entrusting those who will be impacted by AI to collectively decide on the ways to curb it.
That means you; it means me. It’s the power of large networks of individuals to problem-solve faster and more equitably than a small group of individuals might do alone (including, say, in Washington). This is not naively relying on t

A high-stakes race for supremacy in artificial intelligence is playing out between two of the world’s biggest tech companies. Should we be worried or excited? Chris Stokel-Walker reportsAfter years of almost unrivalled dominance of the way we search out information on the internet, Google has suddenly found itself playing catch-up in the sphere of chatbots. The launch of ChatGPT by OpenAI has already had a huge impact. Users have marvelled at its ability to generate human-like written text

Nissan’s ServCity project shows how far autonomous vehicles have come and difficulties they still faceThe journey in a self-driving Nissan across Woolwich in south-east London begins smoothly enough: fitted with cameras and sensors, the electric car confidently handles pedestrian crossings, vans cutting into its lane without warning and even scurrying jaywalkers.Then comes an unexpected obstacle: a football-sized rock, fallen from the back of a lorry on to the middle of the road. The speci

“I think I’m probably just as guilty as everybody else,” Toyota Research Institute’s (TRI) senior vice president of robotics, Max Bajracharya, admits. “It’s like, now our GPUs are better. Oh, we got machine learning and now you know we can do this. Oh, okay, maybe that was harder than we thought.”
Ambition is, of course, an important aspect of this work. But there’s also a grand, inevitable tradition of relearning mistakes. The smartest people in t