Computer chips
Computer chips

Computer chips

2-D Artificial Intelligence Computer chips DMSE Electronics Materials science and engineering Mechanical engineering Research School of Engineering Semiconductors

MIT engineers grow “high-rise” 3D chips

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

Artificial Intelligence Computer chips Computer science and technology Data Electrical engineering and computer science (EECS) Electronics machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Optics Photonics Research Research Laboratory of Electronics School of Engineering

Photonic processor could enable ultrafast AI computations with extreme energy efficiency

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.

Artificial Intelligence Computer chips Computer science and technology Electrical Engineering & Computer Science (eecs) Electronics Internet Of Things machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research Research Laboratory of Electronics School of Engineering sensors Supply chains

This tiny, tamper-proof ID tag can authenticate almost anything

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.

Artificial Intelligence Computer chips Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology cybersecurity Data Electrical Engineering & Computer Science (eecs) Electronics machine learning MIT Schwarzman College of Computing Privacy Research School of Engineering

Accelerating AI tasks while preserving data security

The SecureLoop search tool efficiently identifies secure designs for hardware that can boost the performance of complex AI tasks, while requiring less energy.