all AI news
Photonic Chips Curb AI Training’s Energy Appetite
IEEE Spectrum spectrum.ieee.org
Processors that use light instead of electricity show promise as a faster and more energy-efficient way to implement AI. So far they’ve only been used to run models that have already been trained, but new research has demonstrated the ability to train AI on an optical chip for the first time.
As AI models get ever larger there is growing concern about the amount of energy they consume, both due to ballooning costs and the potential impact on the environment. …
ai training artificial intelligence backpropagation chip chips electricity energy faster light optical computing photonic chips photonics processors research show train ai training