Computer system predicts products of chemical reactions
Machine learning approach could aid the design of industrial processes for drug manufacturing.
Machine learning approach could aid the design of industrial processes for drug manufacturing.
A technique developed in the Cziczo Lab may be the most accurate way of identifying biological aerosols from mineral dust in the atmosphere and analyzing their contribution to cloud formation and climate change.
Conference convened by the White House Office of American Innovation includes leading corporate CEOs and other technology leaders.
Technique that reduces video files to one-tenth their initial size enables speedy analysis of laparoscopic procedures.
GelSight technology lets robots gauge objects’ hardness and manipulate small tools.
Initially turned down by nearly every college he applied to, the computer scientist cleared his own path to MIT.
CSAIL approach allows robots to learn a wider range of tasks using some basic knowledge and a single demo.
Leader in machine learning and natural language processing takes on professorship established by veteran software entrepreneur Thomas Siebel.
Ballyhooed artificial-intelligence technique known as “deep learning” revives 70-year-old idea.
Amnon Shashua PhD ’93, co-founder of Mobileye, discusses challenges associated with autonomous vehicles in MIT visit.
With support from the Toyota Research Institute, MIT faculty will focus on next-generation energy storage.
Drew Houston ’05 chatted with student innovators and shared his latest projects.
Computer scientist Regina Barzilay empowers cancer treatment with machine learning.
Low-power special-purpose chip could make speech recognition ubiquitous in electronics.