New program bolsters innovation in next-generation artificial intelligence hardware
MIT AI Hardware Program launches with five inaugural companies to advance AI technologies for the next decade.
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MIT AI Hardware Program launches with five inaugural companies to advance AI technologies for the next decade.
Graduate engineering, economics, and various science programs are No. 1 in the nation; MIT Sloan is No. 5.
“Privid” could help officials gather secure public health data or enable transportation departments to monitor the density and flow of pedestrians, without learning personal information about people.
Researchers design a user-friendly interface that helps nonexperts make forecasts using data collected over time.
Ironclad, co-founded by an MIT alumnus, has created a suite of workflow and analytics solutions to help companies draft, manage, and learn from business contracts.
Researchers have developed a technique for making quantum computing more resilient to noise, which boosts performance.
Virtual conference gathered students, faculty, and industry partners to explore the future of microsystems and nanotechnology.
CSAIL scientists came up with a learning pipeline for the four-legged robot that learns to run entirely by trial and error in simulation.
A machine-learning model for image classification that’s trained using synthetic data can rival one trained on the real thing, a study shows.
Professors Kamrin, Lang, McGee, and Shoulders are honored for exceptional undergraduate teaching.
In his new role, Shah will help students and faculty bring innovative technologies from the lab to the marketplace.
MEng graduate students engage with IBM to develop their research skills and solutions to real-world problems.
“Carbon Queen” explores how the Institute Professor transformed our understanding of the physical world and made science and engineering more accessible to all.
The Social and Ethical Responsibilities of Computing publishes a collection of original pedagogical materials developed for instructional use on MIT OpenCourseWare.
Theories from cognitive science and psychology could help humans learn to collaborate with robots faster and more effectively, scientists find.