MIT affiliates named 2025 Schmidt Sciences AI2050 Fellows
Postdoc Zongyi Li, Associate Professor Tess Smidt, and seven additional alumni will be supported in the development of AI against difficult problems.
Postdoc Zongyi Li, Associate Professor Tess Smidt, and seven additional alumni will be supported in the development of AI against difficult problems.
With insect-like speed and agility, the tiny robot could someday aid in search-and-rescue missions.
Developed to analyze new semiconductors, the system could streamline the development of more powerful solar panels.
By performing deep learning at the speed of light, this chip could give edge devices new capabilities for real-time data analysis.
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.
A deep neural network called CHAIS may soon replace invasive procedures like catheterization as the new gold standard for monitoring heart health.
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.
The technique leverages quantum properties of light to guarantee security while preserving the accuracy of a deep-learning model.
More efficient than other approaches, the “Thermometer” technique could help someone know when they should trust a large language model.
Fifteen new faculty members join six of the school’s academic departments.