Plasma Science and Fusion Center researchers created a superconducting circuit that could one day replace semiconductor components in quantum and high-performance computing systems.

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.

The consortium will bring researchers and industry together to focus on impact.

With their recently-developed neural network architecture, MIT researchers can wring more information out of electronic structure calculations.

An electronic stacking technique could exponentially increase the number of transistors on chips, enabling more efficient AI hardware.

Two studies pinpoint their likely industrial sources and mitigation opportunities.

New camera chip design allows for optimizing each pixel’s timing to maximize signal-to-noise ratio when tracking real-time visual indicator of neural voltage.

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

New research by a team of MIT engineers offers a guide for fine-tuning specific material properties.

State-of-the-art toolset will bridge academic innovations and industry pathways to scale for semiconductors, microelectronics, and other critical technologies.