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.
An electronic stacking technique could exponentially increase the number of transistors on chips, enabling more efficient AI hardware.
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.
Researchers are leveraging quantum mechanical properties to overcome the limits of silicon semiconductor technology.
The technique leverages quantum properties of light to guarantee security while preserving the accuracy of a deep-learning model.
Fifteen new faculty members join six of the school’s academic departments.
Researchers have developed a security solution for power-hungry AI models that offers protection against two common attacks.
Lightmatter, founded by three MIT alumni, is using photonic technologies to reinvent how chips communicate and calculate.
MIT engineers developed a tag that can reveal with near-perfect accuracy whether an item is real or fake. The key is in the glue on the back of the tag.