Pick and place bots autonomously doing household chores. Progress! 🦾🤖
The idea of a robot that does a wide range of household chores, from unloading the dryer to folding laundry to cleaning up a messy table, has long seemed like pure science fiction—perhaps most famously embodied by the 1960s fantasy that was Rosey in The Jetsons.
Physical Intelligence, a startup in San Francisco, has shown that such a dream might actually not be so far off, demonstrating a single artificial intelligence model that has learned to do a wide range of useful home chores—including all of the above—by being trained on an unprecedented amount of data.
The feat raises the prospect of bringing something as magical and generally capable as other AI models like ChatGPT into the physical world.
The search engine will provide conversational answers to users about current events on Meta AI.
Computer scientists need to grapple with the possibility they will accidentally create sentient artificial intelligence (AI) — and to plan for those systems’ welfare, a new study argues.
The report published Thursday comes from an unusual quarter: specialists in the frontier field of animal consciousness, several of whom were signatories of the New York Declaration on Animal Consciousness.
Kyocera has unveiled two funds totaling $100 million for startups focused on technologies including artificial intelligence, renewable energy and mobility.
A new computer vision system inspired by cats’ eyes could enable robots to see the world around them more accurately than ever before.
Robots, drones, self-driving cars and other autonomous systems are becoming more common, but they still struggle to see well in all environments and conditions. For example, self-driving cars perform poorly in rain or fog because these conditions affect the car’s sensors and cameras.