Algorithm connects students to the most interesting person they’ve never met
Tuka Al-Hanai and Mohammad Ghassemi have connected over 500 MIT students for more than 1,000 lunch meetings.
Q&A: How Twitter explains the 2016 election
“Electome” project charts the national conversation in unique detail.
Cache management improved once again
New version of breakthrough memory management scheme better accommodates commercial chips.
Calculating the financial risks of renewable energy
Financial-modeling software for sustainable-infrastructure projects could boost investment in sector.
Faster parallel computing
New programming language delivers fourfold speedups on problems common in the age of big data.
Judging a book through its cover
New computational imaging method identifies letters printed on first nine pages of a stack of paper.
Robot helps nurses schedule tasks on labor floor
System from Computer Science and Artificial Intelligence Lab suggests where to move patients and who should do C-sections.
Exploring networks efficiently
Analysis of ant colony behavior could yield better algorithms for network communication.
Better views with smaller satellites
Batches of shoebox-sized satellites could improve estimates of Earth’s reflected energy.
Mapping molecular neighborhoods
Associate Professor Ernest Fraenkel uses biological network modeling to identify new targets for disease.
Teaching machines to predict the future
Deep-learning vision system from the Computer Science and Artificial Intelligence Lab anticipates human interactions using videos of TV shows.
Parallel programming made easy
New chip design makes parallel programs run many times faster and requires one-tenth the code.
For second time, LIGO detects gravitational waves
Signal was produced by two black holes colliding 1.4 billion light years away.
Artificial intelligence produces realistic sounds that fool humans
Video-trained system from MIT’s Computer Science and Artificial Intelligence Lab could help robots understand how objects interact with the world.