Study finds Wikipedia influences judicial behavior
Using a randomized field experiment, researchers discover that Wikipedia articles affect judges’ legal reasoning.
Q&A: Warehouse robots that feel by sight
Neuroscience professor and Science Hub investigator Ted Adelson explains how simulating the sense of touch with a camera can make robots smarter.
Explained: How to tell if artificial intelligence is working the way we want it to
“Interpretability methods” seek to shed light on how machine-learning models make predictions, but researchers say to proceed with caution.
A new twist on old-school animation
MIT researchers create KineCAM, an instant camera that yields images that appear to move.
A technique to improve both fairness and accuracy in artificial intelligence
Methods that make a machine-learning model’s predictions more accurate overall can reduce accuracy for underrepresented subgroups. A new approach can help.
Costis Daskalakis appointed inaugural Avanessians Professor in the MIT Schwarzman College of Computing
Professor of electrical engineering and computer science will receive additional support to advance his research and career.
3 Questions: Teaching computational maker skills through gaming
With FabO, PhD student Dishita Turakhia wants to empower students to learn digital fabrication by making video game objects and characters come alive.
Teaching AI to ask clinical questions
Researchers have made strides toward machine-learning models that can help doctors more efficiently find information in a patient’s health record.
Artificial intelligence model finds potential drug molecules a thousand times faster
A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.
A programming language for hardware accelerators
Researchers created Exo for writing high-performance code on hardware accelerators.
Five with MIT ties win 2022 Hertz Foundation Fellowships
Award provides five years of funding and access to a community of innovative scholars and leaders in science and technology.
Summer 2022 recommended reading from MIT
Enjoy these recent titles from Institute faculty and staff.
Remembering Octavian-Eugen Ganea, a gifted MIT postdoc AI researcher and beloved colleague
The brilliant scientist was known for both the depth of his intellect and his kindness.
Building explainability into the components of machine-learning models
Researchers develop tools to help data scientists make the features used in machine-learning models more understandable for end users.
Robot overcomes uncertainty to retrieve buried objects
This robotic system uses radio frequency signals, computer vision, and complex reasoning to efficiently find items hidden under a pile.