Connor Coley named a Chemical and Engineering News Talented Twelve
Chemical engineering graduate student was named a “machine-learning maestro” by the magazine.
Artificial intelligence system uses transparent, human-like reasoning to solve problems
Model from MIT Lincoln Laboratory Intelligence and Decision Technologies Group sets a new standard for understanding how a neural network makes decisions.
Taking machine thinking out of the black box
Adaptable Interpretable Machine Learning project is redesigning machine learning models so humans can understand what computers are thinking.
Model can more naturally detect depression in conversations
Neural network learns speech patterns that predict depression in clinical interviews.
Model improves prediction of mortality risk in ICU patients
By training on patients grouped by health status, neural network can better estimate if patients will die in the hospital.
MIT-created programming language Julia 1.0 debuts
The dynamic programming language, which is free and open source, combines the speed and popular features of the best scientific and technical software.
More efficient security for cloud-based machine learning
Novel combination of two encryption techniques protects private data, while keeping neural networks running quickly.
Artificial intelligence model “learns” from patient data to make cancer treatment less toxic
Machine-learning system determines the fewest, smallest doses that could still shrink brain tumors.
CSAIL launches new initiative for financial technology
FinTech@CSAIL industry collaboration will work to improve business models, access to data, and security in the finance sector.
Helping computers perceive human emotions
Personalized machine-learning models capture subtle variations in facial expressions to better gauge how we feel.
Connor Coley named 2018 DARPA Riser
Chemical engineering graduate student is invited to participate in the agency's 60th anniversary symposium in September.
Smart office enables a personalized workplace atmosphere
Project out of the MIT Media Lab uses biosensors and machine learning to optimize the sensory experience in individual work environments.
Project to elucidate the structure of atomic nuclei at the femtoscale
Laboratory for Nuclear Science project selected to explore machine learning for lattice quantum chromodynamics.
Automating molecule design to speed up drug development
Machine-learning model could help chemists make molecules with higher potencies, much more quickly.
An AI system for editing music in videos
Given a video of a musical performance, CSAIL’s deep-learning system can make individual instruments louder or softer.