Energy Efficient Computing News Today

MIT scientists have tackled key obstacles to bringing 2D magnetic materials into practical use, setting the stage for the next generation of energy-efficient computers.

A team of researchers from the Quantum Materials for Energy Efficient Neuromorphic Computing (Q-MEEN-C) consortium, led by the University of California San Diego, has unlocked a hidden potential in quantum materials. This potential, known as non-local behavior, holds promise in mimicking the intricate workings of the human brain and revolutionizing energy-efficient computing.

An MIT model quantifies emissions that will be generated by computers on fully autonomous vehicles. If self-driving cars are widely adopted, their emissions will rival those generated by all the data centers in the world today. Keeping emissions at or below those levels would require hardware efficiency to improve more rapidly than its current pace.

WASHINGTON – Today, President Biden announced the appointment of the following individuals to serve in key roles: Dr. Kathryn Ann Moler, Co-Chair, Nationa

The 68th annual IEDM takes place at the Hilton San Franciso Union Square hotel from December 3–7, 2022. This year’s theme is “The 75th Anniversary of the