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.
3Q: Structuring the MIT Schwarzman College of Computing
Co-chairs of the Organizational Structure working group discuss their goals and progress.
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.
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.
The power of play
Video game developer NCSOFT joins with MIT.nano to apply the language of gaming to technology research and education.
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.
Teaching machines to reason about what they see
Researchers combine statistical and symbolic artificial intelligence techniques to speed learning and improve transparency.
Fine-tuning multiphysics problems
Nuclear science and engineering graduate student Miriam Kreher codes to create better models for complex interactions within nuclear reactors.
Model learns how individual amino acids determine protein function
Technique could improve machine-learning tasks in protein design, drug testing, and other applications.
Apptimize helps companies create seamless digital experiences
After a personal loss led to a new perspective, Nancy Hua ’07 left a career in finance to start the company.
Kicking neural network design automation into high gear
Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.