Artificial intelligence has become the engine of our digital age. Every face unlocked by a phone, every chatbot response, every streaming recommendation runs on algorithms that demand enormous amounts of computation. Yet behind the glamour of AI lies a hidden cost: energy consumption. Training and running advanced AI models can devour as much electricity as entire towns. The question is no longer whether AI can scale, but whether our chips can keep up without burning out the grid.
Researchers at the University of Florida may have just rewritten the script. Their prototype chip doesn’t just shuffle electrons—it harnesses light itself to compute. By embedding optical components directly into silicon, they have built a light-powered processor capable of running AI tasks up to 100 times faster while consuming only a fraction of the energy.
Continue reading… “Light Is the New Silicon: The Dawn of Optical AI Chips”
