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.
“Interpretability methods” seek to shed light on how machine-learning models make predictions, but researchers say to proceed with caution.
Professor of electrical engineering and computer science will receive additional support to advance his research and career.
With FabO, PhD student Dishita Turakhia wants to empower students to learn digital fabrication by making video game objects and characters come alive.
Researchers created Exo for writing high-performance code on hardware accelerators.
The brilliant scientist was known for both the depth of his intellect and his kindness.
Researchers develop a comfortable, form-fitting fabric that recognizes its wearer’s activities, like walking, running, and jumping.
The second AI Policy Forum Symposium convened global stakeholders across sectors to discuss critical policy questions in artificial intelligence.
Master’s student Chelsi Cocking combines her love for computer science and design in her research and outreach efforts at the Media Lab.
For MIT OpenCourseWare and MITx MicroMasters learner Michael Pilgreen, risk taking and hands-on learning opened new doors in finance.
Rapid increases in the speed and power of microchips have fueled innovation in many industries, but the future trajectory of that incredible progress may be in jeopardy.
MIT scientists unveil the first open-source simulation engine capable of constructing realistic environments for deployable training and testing of autonomous vehicles.
A new general-purpose optimizer can speed up the design of walking robots, self-driving vehicles, and other autonomous systems.
The system rapidly scans the genome of cancer cells, could help researchers find targets for new drugs.
A new technique in computer vision may enhance our three-dimensional understanding of two-dimensional images.
A new computational model could explain differences in recognizing facial emotions.