Close
The massive amount of energy needed to power Artificial Intelligence could slow its development in the U.S., according to a Connecticut database security and privacy expert. Connecticut and other states would have to significantly improve their energy infrastructure to keep up with the electricity needed for AI computing, said Chetan Jaiswal, a computer science professor at Quinnipiac University and an AI researcher. Jaiswal highlighted the substantial energy consumption of AI processors, with a single chip running for nine days using more than 27,000 kilowatt hours.
The increasing energy demand for AI poses a challenge for America in maintaining its competitive edge over China in AI development. A proposed high-speed data center complex in Connecticut, located next to the Millstone Nuclear Power plant in Waterford, aims to draw its electricity directly from the nuclear plant. This data center would become the largest electricity user in the state, emphasizing the critical need for enhanced energy infrastructure to support AI advancements.
Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
How to level up your teaching with AI. Discover how to use clones and GPTs in your classroom—personalized AI teaching is the future.
Trump's Third Term? AI already knows how this can be done. A study shows how OpenAI, Grok, DeepSeek & Google outline ways to dismantle U.S. democracy.
Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.
Log in
Sign Up
AI Tools - Popular
AI Tools - Categories
GPTs - Categories
AI for Jobs
