New leadership for MIT-IBM Watson AI Lab
Computer vision and machine learning expert Antonio Torralba to lead new artificial intelligence research lab.
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Automatic code reuse
System makes modifications necessary to transplant code from one program into another.
The Engine announces investments in first group of startups
New venture launched by MIT will support “tough-tech” companies at work on transformative ideas that take time to commercialize.
American Sign Language at MIT
A new club is spreading awareness of Deaf culture and American Sign Language.
“Peel-and-go” printable structures fold themselves
Expanding polymer enables self-folding without heating or immersion in water.
3 Questions: Iyad Rahwan on the “psychological roadblocks” facing self-driving cars
MIT Media Lab professor considers the trust gap between people and autonomous vehicles.
How neural networks think
General-purpose technique sheds light on inner workings of neural nets trained to process language.
Maryann Gong named 2017 NCAA Woman of the Year Top 30 honoree
Gong becomes third MIT student-athlete to be named to Top 30.
J-WAFS awards commercialization grants to develop technologies for water and food solutions
Three new projects and two renewals receive J-WAFS Solutions grant funding for 2017-2018.
IBM and MIT to pursue joint research in artificial intelligence, establish new MIT-IBM Watson AI Lab
IBM plans to make a 10-year, $240 million investment in new lab with MIT to advance AI hardware, software, and algorithms.
3Q: Anantha Chandrakasan on new MIT–IBM Watson AI Lab
Lab seeks to expand the boundaries of research on artificial intelligence.
Gregory Falco: Protecting urban infrastructure against cyberterrorism
PhD student works at the intersection of urban planning and computer science.
Two sciences tie the knot
A new major combining computer science and economics will prepare students for designing the virtual marketplaces of the future.
Making data centers more energy efficient
Flash-memory system could reduce power consumption of data center “caches” by 90 percent.
Robotic system monitors specific neurons
Success rate is comparable to that of highly trained scientists performing the process manually.