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3 Questions: Peko Hosoi on the data-driven reasoning behind MIT’s Covid-19 policies for the fall
“We have not played all our cards yet,” says the associate dean of engineering and co-founder of the Isolat modeling group.
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.
Machine learning discovers new sequences to boost drug delivery
MIT researchers employ machine learning to find powerful peptides that could improve a gene therapy drug for Duchenne muscular dystrophy.
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.
A comprehensive study of technological change
New research using patent data could help inform decision-makers by predicting which technologies are improving the fastest.
Teenage MIT ninja students
Computer science and engineering majors Guang Cui and Daniel Sun are best friends — and now, alumni of the TV competition “American Ninja Warrior.”
Lockdowns reveal inequities in opportunities for walking activities
Research finds Covid-19-related lockdowns led to a marked reduction in walking in lower-income areas of major metropolises.
Contact-aware robot design
A novel method to represent robotic manipulators helps optimize complex and organic shapes for future machines.
