MIT's Photonic Chip Revolutionizes Energy-Efficient AI Computing
Originally Published 1 year ago — by MIT News
MIT researchers have developed a new photonic chip that performs deep neural network computations using light, achieving ultrafast processing speeds and high energy efficiency. This fully integrated photonic processor can handle both linear and nonlinear operations on-chip, overcoming previous limitations that required off-chip electronics. The chip's performance is comparable to traditional hardware, completing tasks in less than half a nanosecond with over 92% accuracy. This advancement could lead to faster, more efficient AI applications in fields like telecommunications and scientific research.
