AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an ...
Artificial intelligence companies are spending billions on chips and infrastructure. Researchers think optical computing could help.
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?
The truth is that even the most optimistic vendor estimates for this would put very nascent stages of enterprise value toward the end of the decade. Quantum computing will probably never get a ...
UC Santa Cruz researchers are exploring how brains learn, adapt, and improve, which could help us better understand and address neurological conditions.
ZME Science on MSN
Computer chips designed like biological brains can finally handle massive math problems without guzzling energy like a normal supercomputer
When you swing a tennis racket or catch a set of keys, you aren’t thinking about wind resistance or gravity. Yet, to perform that motion, your brain is solving a massive physics problem in ...
Henry Yuen is developing a new mathematical language to describe problems whose inputs and outputs aren’t ordinary numbers.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results