Vivienne Sze wins Edgerton Faculty Award
EECS faculty member is recognized for technical innovation, educational excellence, and efforts to advance women and underrepresented minorities in her field.
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Giving robots a better feel for object manipulation
Model improves a robot’s ability to mold materials into shapes and interact with liquids and solid objects.
Robots that can sort recycling
CSAIL’s "RoCycle" system uses in-hand sensors to detect if an object is paper, metal or plastic.
A novel data-compression technique for faster computer programs
Researchers free up more bandwidth by compressing “objects” within the memory hierarchy.
Five from MIT win 2019 Paul and Daisy Soros Fellowships for New Americans
Award funds graduate studies for talented immigrants and children of immigrants.
3 Questions: Provost Martin Schmidt on building a new college
Working groups of faculty, students, staff are meeting regularly to develop ideas for the MIT Schwarzman College of Computing.
Engineers develop concept for hybrid heavy-duty trucks
Long-haul trucks with electric motors combined with gas-alcohol engines could slash pollution levels and greenhouse gases.
Driving toward success
Through MIT Professional Education’s Advanced Study Program, Ernie Ho found the tools — and the community — he needed to realize his vision and launch his career.
The power of play
Video game developer NCSOFT joins with MIT.nano to apply the language of gaming to technology research and education.
The future of agriculture is computerized
Machine learning can reveal optimal growing conditions to maximize taste and other features.
Machine learning moves popular data elements into a bucket of their own
Counting search queries isn’t easy, but MIT CSAIL’s new LearnedSketch system for “frequency-estimation” aims to help.
Advance boosts efficiency of flash storage in data centers
New architecture promises to cut in half the energy and physical space required to store and manage user data.
With new Proto Ventures Program, MIT Innovation Initiative turns ideas into impact
MITii will hire experts to pursue new business opportunities by matching MIT expertise and innovation with real-world problems.
Teaching machines to reason about what they see
Researchers combine statistical and symbolic artificial intelligence techniques to speed learning and improve transparency.