MIT's Photonic Processor Revolutionizes AI with Light-Speed Efficiency

MIT researchers have developed a new photonic neural network processor that uses light to perform calculations, potentially overcoming limitations of traditional electronic computing. This new system, which incorporates nonlinear optical function units (NOFUs), allows all neural network processing to occur on the chip, achieving high accuracy and ultra-low latency. The photonic chip, fabricated with standard semiconductor tools, could be manufactured at scale, offering a faster alternative to electronic processors for machine learning tasks.