The tech allows a robot to operate based on both language commands and environmental surroundings.
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Nuclear-fusion startups are getting a lot of funding, but their commercial viability doesn’t seem too imminent.
The company’s access to a vast well of user payments data could go a long way in creating far more powerful models.
The critically panned device received backlash for a lot of functionality issues. Hardware packaging largely wasn’t one of them.
A change in US export controls on advanced semiconductors presaged a wave of AI deals between the US and Saudi Arabia this week.
Microsoft’s patent for a language model that talks back signals Big Tech’s interest in multimodal AI.
A high-powered chatbot may not deliver the illusive dream of developing artificial intelligence that can teach itself.
As one legal expert put the issue: “The technology is moving faster than the law ever will.”
Online learning company Chegg is laying off almost a quarter of its workforce amid worries that AI is doing people’s homework for them.
Alibaba wants to shave down its neural networks to make AI easier to deploy.
The US is trying to box China out of AI development. The problem is the Asian nation is also the source of invaluable AI talent.
While this is a recognized problem in face-reading AI models, Nvidia’s tech relies on synthetic data to achieve balance, which comes with caveats.
The future of traditional search engines got a rude awakening last week as an Apple executive predicted their eventual demise.
“The problem is bounded,” one expert said.
Several years into the great AI revolution, it still remains an unsettled question whether firms are committing mass copyright infringement.
Big Tech is hoping AI-powered smartphones will be the first of many great returns on its eye-popping AI investments.