ALEXANDRIA, Va., Dec. 31 -- United States Patent no. 12,511,527, issued on Dec. 30, was assigned to Massachusetts Institute of Technology (Cambridge, Mass.) and NTT Research Inc. (Sunnyvale, Calif.).
"VCSEL-based coherent scalable deep learning" was invented by Zaijun Chen (Los Angeles), Ryan Hamerly (Cambridge, Mass.) and Dirk Robert Englund (Brookline, Mass.).
According to the abstract* released by the U.S. Patent & Trademark Office: "The exponential growth in deep learning models is challenging existing computing hardware. Optical neural networks (ONNs) accelerate machine learning tasks with potentially ultrahigh bandwidth and nearly no loss in data movement. Scaling up ONNs involves improving scalability, energy efficiency, compute de...