MLCommons' AI training tests show that the more chips you have, the more critical the network that's between them.

A key application often envisioned for neuromorphic technology is to implement similarly brain-inspired neural networks, the ...

Brain-computer interface (BCI) technology developer Cognixion, and eye-tracking platform specialist Pupil Lab, have forged a ...

A new technical paper titled “What Is Next for LLMs? Next-Generation AI Computing Hardware Using Photonic Chips” was ...

Australian researchers are turning to nature for the next computing revolution, harnessing living cells and biological ...

Whatever your views on Elon Musk, he has clearly mastered using technology to build businesses.  In fact, in a recent ...

Innovation in processor design and power-efficient computing is defining the future of everything from mobile devices to ...

N aveen Verma‘s lab at Princeton University is like a museum of all the ways engineers have tried to make AI ultra-efficient ...

The C.E.O. of OpenAI helped usher artificial intelligence into public life. Now, as fears and fortunes mount, his own ...

Neuromorphic chips approach the brain's function as ... The central concept of a neural network, its layered depth and redundancy, demands an exponentially increasing amount of power.

Reuters reported, citing people familiar with the matter, that Intel Corporation’s (NASDAQ:INTC) plans to divest its network ...

At Computex in Taipei, Lokwon Kim, founder and CEO of the Korean semiconductor company DEEPX, shed light on his company's ...