Generating a realistic 3D world
A new AI-powered, virtual platform uses real-world physics to simulate a rich and interactive audio-visual environment, enabling human and robotic learning, training, and experimental studies.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Taking some of the guesswork out of drug discovery
A deep learning model rapidly predicts the 3D shapes of drug-like molecules, which could accelerate the process of discovering new medicines.
The intersection of math, computers, and everything else
Senior Shardul Chiplunkar aims to be a translator between the tech world and the rest of society.
Helping people understand and track their health
MIT spinoff Fitnescity makes it easier for users to schedule health tests, work with physicians, and interpret results.
3 Questions: Can we fix our flawed software?
Professor Daniel Jackson explores conceptual clarity and a new theory of software design in his book “The Essence of Software.”
Artificial intelligence that understands object relationships
A new machine-learning model could enable robots to understand interactions in the world in the way humans do.
Design’s new frontier
Mechanical engineers are using cutting-edge computing techniques to re-imagine how the products, systems, and infrastructures we use are designed.
Theoretical breakthrough could boost data storage
New work on linear-probing hash tables from MIT CSAIL could lead to more efficient data storage and retrieval in computers.
Dexterous robotic hands manipulate thousands of objects with ease
Model-free framework reorients over 2,000 diverse objects with a hand facing both upward and downward, in a step toward more human-like manipulation.
Giving robots social skills
A new machine-learning system helps robots understand and perform certain social interactions.
Toward speech recognition for uncommon spoken languages
Reducing the complexity of a powerful machine-learning model may help level the playing field for automatic speech-recognition around the world.
Avoiding shortcut solutions in artificial intelligence
A new method forces a machine learning model to focus on more data when learning a task, which leads to more reliable predictions.
School of Science appoints 11 faculty members to named professorships
Those selected for these positions receive additional support to pursue their research and develop their careers.
Artificial intelligence sheds light on how the brain processes language
Neuroscientists find the internal workings of next-word prediction models resemble those of language-processing centers in the brain.