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.
Topic
Computer Science and Artificial Intelligence Laboratory (CSAIL)
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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.
Getting dressed with help from robots
A human-aware motion planning algorithm addresses the safety gap in collaboration between robots and humans.
The tenured engineers of 2021
Eight faculty members have been granted tenure in five departments across the MIT School of Engineering.
The power of two
Graduate student Ellen Zhong helped biologists and mathematicians reach across departmental lines to address a longstanding problem in electron microscopy.
Intelligent carpet gives insight into human poses
Tactical sensing carpet estimates 3D human poses without the use of cameras, and could improve health monitoring and smart homes.
Developing drones to address pandemic-related challenges in Scandinavia
After meeting in an Advanced Study Program at MIT, three Norwegian students began working together to transport biological samples using autonomous vehicles.
A unique collaboration with US Special Operations Command
Nearly 300 government and military members participated in a new course designed to explore the next generation of artificial intelligence and related technologies.
Uncovering the mysteries of milk
PhD student Sarah Nyquist applies computational methods to understudied areas of reproductive health, such as the cellular composition of breast milk.
The new wave of robotic automation
Peter Howard SM ’84 is the CEO of Realtime Robotics, a startup transforming autonomous robot motion planning to enable seamless, affordable human-robot collaboration.
Unlocking the potential of blockchain technology
Algorand uses a unique architecture developed by MIT Professor Silvio Micali to offer a decentralized, secure, and scalable blockchain.
On a quest through uncharted territory
Math professor Ankur Moitra seeks algorithms with provable guarantees, to pin down the mechanisms of machine learning.