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The federal government is about to transition from one that prioritized safeguards for artificial intelligence to one more focused on eliminating red tape.
Would you trust an “AI Jesus” with your innermost thoughts and troubles? Researchers and religious leaders on Wednesday released findings from a two-month experiment through art in a Catholic chapel in Switzerland,
Betting against the Tennessee Titans has been a profitable NFL betting strategy this season. Tennessee is 2-9 against the spread, but the Titans are coming off an impressive victory on the road against the Houston Texans as 7.
This article explores how human capabilities like emotional intelligence, creativity and complex decision-making create an unbridgeable gap between AI and human potential
AI labs racing to surpass human intelligence have become the subject of reports that challenges are getting between their models and their mission.
The plan is to use AI to streamline the interconnection application process that’s currently painfully slow. The delay is holding up efforts to get new solar and wind farms up and running. Pressure is building to clear that backlog with electricity demand on the rise — ironically in no small part because of the artificial intelligence boom.
(Reuters) -Shares of Pony AI opened about 15% above their offer price in their market debut on Wednesday, giving the robotaxi company a valuation of $5.25 billion, in an indication of a positive investor approach to China-based firms.
There’s been a lot of talk about AI PCs this year, but has it actually delivered on its promise? A new analysis from TrendForce says the significant boost in laptop sales in 2024 has more to do with Windows 11 updates than it does with fancy new AI features.
Tech giants such as Google and Meta need something more than compelling chatbots to win.
Two CBS News correspondents conducted an experiment to see which was better at planning a trip — AI or a person. Here's what they found.
Only 13% of executives surveyed - fewer than last year - feel ready to capture AI's potential. They lack skilled staff, higher-capacity infrastructures, and AI-ready data.