Deep learning helps predict new drug combinations to fight Covid-19
Neural network identifies synergistic drug blends for treating viruses like SARS-CoV-2.
Topic
Computer Science and Artificial Intelligence Laboratory (CSAIL)
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Toward a smarter electronic health record
An AI-enhanced system enables doctors to spend less time searching for clinical information and more time treating patients.
Making health and motion sensing devices more personal
An electrical impedance tomography toolkit lets users design and fabricate health and motion sensing devices.
How quickly do algorithms improve?
MIT scientists show how fast algorithms are improving across a broad range of examples, demonstrating their critical importance in advancing computing.
Engineers create 3D-printed objects that sense how a user is interacting with them
Advance incorporates sensing directly into an object’s material, with applications for assistive technology and “intelligent” furniture.
Q&A: Dina Katabi on a “smart” home with actual intelligence
MIT professor is designing the next generation of smart wireless devices that will sit in the background, gathering and interpreting data, rather than being worn on the body.
Who can bend light for cheaper internet?
ARROW, a reconfigurable fiber optics network developed at MIT, aims to take on the end of Moore’s law.
Climate and sustainability classes expand at MIT
MIT offers over 120 undergraduate classes related to sustainability, a sign of growing student and faculty interest in the environmental impacts of their fields.
Making machines that make robots, and robots that make themselves
PhD student Martin Nisser wants to democratize hardware by making it easier to build and customize.
Smart laser cutter system detects different materials
SensiCut, a smart material-sensing platform for laser cutters, can differentiate between 30 materials commonly found in makerspaces and workshops.
Exact symbolic artificial intelligence for faster, better assessment of AI fairness
Probabilistic programming language allows for fast, error-free answers to hard AI problems, including fairness.
3 Questions: David Kaiser and Julie Shah on social and ethical responsibilities of computing
Advancing the study and practice of thinking responsibly in computing education, research, and implementation.
Life in space: Preparing for an increasingly tangible reality
The Space Exploration Initiative supports research across and beyond MIT in two microgravity flights this spring.
Contact-aware robot design
A novel method to represent robotic manipulators helps optimize complex and organic shapes for future machines.
MIT Schwarzman College of Computing awards named professorships to two faculty members
Dina Katabi and Aleksander Madry receive additional support to pursue their research and develop their careers.