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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.
MIT researchers developed a fiber computer and networked several of them into a garment that learns to identify physical activities.
The MIT senior, who has been recognized for his teaching of mathematics and electrical engineering, credits much of his success to his experience in the Experimental Study Group.
Annual award honors early-career researchers for creativity, innovation, and research accomplishments.
Researchers developed a scalable, low-cost device that can generate high-power terahertz waves on a chip, without bulky silicon lenses.
For the past decade, the Abdul Latif Jameel Water and Food Systems Lab has strengthened MIT faculty efforts in water and food research and innovation.
Eight researchers, along with 13 additional alumni, are honored for significant contributions to engineering research, practice, and education.
A new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.
Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.
A new low-power system using radio frequency waves takes a major step toward autonomous, indoor drone navigation.
Ideal for propelling tiny satellites, the lightweight devices could be produced on board a spacecraft and cost much less than traditional thrusters.
In a new MIT course co-taught by EECS and philosophy professors, students tackle moral dilemmas of the digital age.
New “Oreo” method from MIT CSAIL researchers removes footprints that reveal where code is stored before a hacker can see them.
New faculty member Kaiming He discusses AI’s role in lowering barriers between scientific fields and fostering collaboration across scientific disciplines.
MIT researchers developed a new approach for assessing predictions with a spatial dimension, like forecasting weather or mapping air pollution.