Unlocking the Power of Physical AI: Bridging Hardware and Cloud Computing
Physical artificial intelligence hardware developed by UCLA researchers and international collaborators processes complex data locally through self-organizing networks of nanowires or nanoparticles, according to a forward-looking article published in Nature Reviews Physics. The system bypasses conventional software-driven neural networks by letting hardware compute directly within structures measured on the scale of billionths of a meter, … Read more