Teaching machines to reason about what they see
Researchers combine statistical and symbolic artificial intelligence techniques to speed learning and improve transparency.
Researchers combine statistical and symbolic artificial intelligence techniques to speed learning and improve transparency.
Nuclear science and engineering graduate student Miriam Kreher codes to create better models for complex interactions within nuclear reactors.
Technique could improve machine-learning tasks in protein design, drug testing, and other applications.
After a personal loss led to a new perspective, Nancy Hua ’07 left a career in finance to start the company.
Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.
Loosely connected disc-shaped “particles” can push and pull one another, moving en masse to transport objects.
Foundation’s $28.6 million gift will fund science, innovation, and education to advance understanding, ability, and inclusion.
Master’s student and Marshall Scholar Kyle Swanson uses computer science to help make drug development more efficient.
MIT.nano etches more than 270,000 names from the MIT community on a 6-inch wafer.
CSAIL researcher and web inventor recognized for his startup inrupt, which aims to give users more control over their data.
A popular student-coordinated class draws a capacity crowd from across the MIT campus and beyond.
Annual student-led conference connects MIT researchers and industry partners.
Coating graphene with wax makes for a less contaminated surface during device manufacturing.
Formerly associate vice president, Silis has been a member of MIT Information Systems and Technology for 15 years.
Fireside chat brings together six Turing Award winners to reflect on their field and the MIT Stephen A. Schwarzman College of Computing.