Over the past couple of months, several researchers have begun making the same provocative claim: They used generative-AI tools to solve a previously unanswered math problem. The most extreme promises ...
AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an ...
No body, no dopamine, no problem. Scientists have successfully coached lab-grown brain tissue to solve a classic robotics challenge, proving that the will to learn is hardwired into our neurons.
Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.
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 ...
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