Teaching artificial intelligence to connect senses like vision and touch
MIT CSAIL system can learn to see by touching and feel by seeing, suggesting future where robots can more easily grasp and recognize objects.
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Algorithm tells robots where nearby humans are headed
A new tool for predicting a person’s movement trajectory may help humans and robots work together in close proximity.
Chip design drastically reduces energy needed to compute with light
Simulations suggest photonic chip could run optical neural networks 10 million times more efficiently than its electrical counterparts.
Preliminary reports examine options for MIT Schwarzman College of Computing
Working groups identify key ideas for new college; period of community feedback continues.
Autonomous boats can target and latch onto each other
Fleet of “roboats” could collect garbage or self-assemble into floating structures in Amsterdam’s many canals.
Q&A: David Hardt on teaching the principles of manufacturing
From MEngM to MicroMasters, Professor David Hardt has devoted much of his career to reshaping how manufacturing is taught.
The tenured engineers of 2019
Seventeen appointments have been made in eight departments within the School of Engineering.
CSAIL hosts first-ever TEDxMIT
Speakers — all women — discuss everything from gravitational waves to robot nurses.
Q&A: Phillip Isola on the art and science of generative models
Image-translation pioneer discusses the past, present, and future of generative adversarial networks, or GANs.
Sensor-packed glove learns signatures of the human grasp
Signals help neural network identify objects by touch; system could aid robotics and prosthetics design.
3 Questions: The social implications and responsibilities of computing
In helping envision the MIT Schwarzman College of Computing, working group is focusing on ethical and societal questions.
Humanizing speech in the deaf-blind community
Sophomore Noopur Ranganathan's work empowers those with visual and auditory impairments to take communication into their own hands.
Developing artificial intelligence tools for all
MIT Quest for Intelligence-sponsored undergraduate research projects demystify AI.
Bringing human-like reasoning to driverless car navigation
Autonomous control system “learns” to use simple maps and image data to navigate new, complex routes.
This robot helps you lift objects — by looking at your biceps
CSAIL system can mirror a user's motions and follow nonverbal commands by monitoring arm muscles.