Drag-and-drop data analytics
System lets nonspecialists use machine-learning models to make predictions for medical research, sales, and more.
New AI programming language goes beyond deep learning
General-purpose language works for computer vision, robotics, statistics, and more.
Kicking neural network design automation into high gear
Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.
“Particle robot” works as a cluster of simple units
Loosely connected disc-shaped “particles” can push and pull one another, moving en masse to transport objects.
Addressing the promises and challenges of AI
Final day of the MIT Schwarzman College of Computing celebration explores enthusiasm, caution about AI’s rising prominence in society.
Building site identified for MIT Stephen A. Schwarzman College of Computing
Headquarters would replace Building 44, forming an “entrance to computing” near the intersection of Vassar and Main streets.
Model can more naturally detect depression in conversations
Neural network learns speech patterns that predict depression in clinical interviews.
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.
Helping computers perceive human emotions
Personalized machine-learning models capture subtle variations in facial expressions to better gauge how we feel.
Automating molecule design to speed up drug development
Machine-learning model could help chemists make molecules with higher potencies, much more quickly.