Artificial intelligence companies are spending billions on chips and infrastructure. Researchers think optical computing could help.
Tao: Today there are a lot of very tedious types of mathematics that we don’t like doing, so we look for clever ways to get ...
AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an ...
When explaining to his Penn State Schuylkill students how widespread the use of artificial intelligence is becoming across ...
Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...
From local K-12 districts to Penn State Schuylkill to Schuylkill Technology Center and Alvernia University, east Pennsylvania ...
Software can help developers assess AI model energy use, which is necessary to lower costs and strain on the grid Servers at the Michigan Academic ...
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'Proof by intimidation': AI is confidently solving 'impossible' math problems. But can it convince the world's top mathematicians?
AI could soon spew out hundreds of mathematical proofs that look "right" but contain hidden flaws, or proofs so complex we can't verify them. How will we know if they're right?
An Impact News article titled The Rise of Quantum is Shifting Attention to the World’s Data Centers reports that ...
New research debunking AI existential threats argues that social, physical, and regulatory constraints prevent an AI apocalypse, favoring sector-specific policy instead.
Bringing that mindset into the autonomous vehicle space, safety concerns and legal compliance require an entire staff, not just someone occasionally wearing a hat and performing a safety audit.
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