Try this! Researchers devise better recommendation algorithm
Improved recommendation algorithm should work especially well when ratings data are “sparse.”
Improved recommendation algorithm should work especially well when ratings data are “sparse.”
Class taught by Vivienne Sze and Joel Emer brings together traditionally separate disciplines for advances in deep learning.
Boston Globe op-ed by MIT president calls for a “whole-society effort” to address profound challenges posed by automation.
Two-day “AI and the Future of Work” summit at MIT focused on the artificial intelligence revolution and the workplace.
System could pore through millions of research papers to extract “recipes” for producing materials.
System for performing “tensor algebra” offers 100-fold speedups over previous software packages.
With Shelley, the world’s first artificial intelligence-human horror story collaboration, MIT researchers aim for goosebumps.
Model developed at MIT’s Computer Science and Artificial Intelligence Laboratory could reduce false positives and unnecessary surgeries.
A virtual reality system from the Computer Science and Artificial Intelligence Laboratory could make it easier for factory workers to telecommute.
MIT computer scientist who studies natural language processing and machine learning wins $625,000 prize.
Using smartphone cameras, system for seeing around corners could help with self-driving cars and search-and-rescue.
Shape-shifting device from CSAIL can walk, roll, sail, and glide using recyclable exoskeletons.
Computer vision and machine learning expert Antonio Torralba to lead new artificial intelligence research lab.
New venture launched by MIT will support “tough-tech” companies at work on transformative ideas that take time to commercialize.
New research describes a price-optimization method to increase online retailers’ revenue, market share, and profit.