AI Hardware

This tiny chip can safeguard user data while enabling efficient computing on a smartphone

Four MIT faculty named 2023 AAAS Fellows

A new way to let AI chatbots converse all day without crashing

Leveraging language to understand machines

2023 EECS Awards

New quantum magnet unleashes electronics potential

Bilge Yildiz wins Rahmi M. Koç Medal of Science

The 2022 IBM Research annual letter

Putting a new spin on computer hardware

Computing with chemicals makes faster, leaner AI

Busy GPUs: Sampling and pipelining method speeds up deep learning on large graphs

‘Artificial synapse’ could make neural networks work more like brains

New hardware offers faster computation for artificial intelligence, with much less energy

Dario Gil announced as inaugural MIT School of Engineering and Schwarzman College of Computing Advanced Degree Ceremony Speaker

Making quantum circuits more robust

Putting AI in IoT chips? It’s a question of memory

How to regain the semiconductor high ground

Reasserting U.S. leadership in microelectronics

Building on our history of innovation for the future of IBM

How New York’s ecosystem is uniquely positioned to drive American semiconductor innovation

Electrochemistry, from batteries to brains

A unique collaboration with US Special Operations Command

Q&A: Vivienne Sze on crossing the hardware-software divide for efficient AI

System brings deep learning to “internet of things” devices

Shrinking deep learning’s carbon footprint

Engineers put tens of thousands of artificial brain synapses on a single chip