MIT researchers have developed a new fabrication method that could enable the production of more energy efficient electronics by stacking multiple functional components on top of one existing circuit. In traditional circuits, logic devices that perform computation, like transistors, and memory devices that store data are built as separate components, forcing data to travel back and forth between them, which wastes energy. This new electronics integration platform allows scientists to fabricate transistors and memory devices in one compact stack on a semiconductor chip. This eliminates much of that wasted energy while boosting the speed of computation. Key to this advance […]

Quantum computing (QC) and AI have one thing in common: They make mistakes. There are two keys to handling mistakes in QC: We’ve made tremendous progress in error correction in the last year. And QC focuses on problems where generating a solution is extremely difficult, but verifying it is easy. Think about factoring 2048-bit prime numbers (around 600 decimal digits). That’s a problem that would take years on a classical computer, but a quantum computer can solve it quickly—with a significant chance of an incorrect answer. So you have to test the result by multiplying the factors to see if […]

Two current MIT affiliates and seven additional alumni are among those named to the 2025 cohort of AI2050 Fellows.   Zongyi Li, a postdoc in the MIT Computer Science and Artificial Intelligence Lab, and Tess Smidt ’12, an associate professor of electrical engineering and computer science (EECS), were both named as AI2050 Early Career Fellows.  Seven additional MIT alumni were also honored. AI2050 Early Career Fellows include Brian Hie SM ’19, PhD ’21; Natasha Mary Jaques PhD ’20; Martin Anton Schrimpf PhD ’22; Lindsey Raymond SM ’19, PhD ’24, who will join the MIT faculty in EECS, the Department of Economics, […]