Photonic processor could streamline 6G wireless signal processing
By performing deep learning at the speed of light, this chip could give edge devices new capabilities for real-time data analysis.
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By performing deep learning at the speed of light, this chip could give edge devices new capabilities for real-time data analysis.
Agreement between MIT Microsystems Technology Laboratories and GlobalFoundries aims to deliver power efficiencies for data centers and ultra-low power consumption for intelligent devices at the edge.
This new device uses light to perform the key operations of a deep neural network on a chip, opening the door to high-speed processors that can learn in real-time.
The technique leverages quantum properties of light to guarantee security while preserving the accuracy of a deep-learning model.
Lightmatter, founded by three MIT alumni, is using photonic technologies to reinvent how chips communicate and calculate.
Inventions in medical imaging, aircrew scheduling, data security, and quantum networking are named among the year’s most innovative new products.
“Lightning” system connects photons to the electronic components of computers using a novel abstraction, creating the first photonic computing prototype to serve real-time machine-learning inference requests.
MIT system demonstrates greater than 100-fold improvement in energy efficiency and a 25-fold improvement in compute density compared with current systems.