By performing deep learning at the speed of light, this chip could give edge devices new capabilities for real-time data analysis.

Researchers achieved a type of coupling between artificial atoms and photons that could enable readout and processing of quantum information in a few nanoseconds.

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.

As part of a high-resolution biosensing device without wires, the antennas could help researchers decode intricate electrical signals sent by cells.

The technique provides researchers with a powerful tool for controlling magnetism, and could help in designing faster, smaller, more energy-efficient memory chips.

Using high-powered lasers, this new method could help biologists study the body’s immune responses and develop new medicines.

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.

Smaller than a coin, this optical device could enable rapid prototyping on the go.

A new quantum-system-on-chip enables the efficient control of a large array of qubits, moving toward practical quantum computing.