Institute launches the MIT Intelligence Quest
New Institute-wide initiative will advance human and machine intelligence research.
Play Labs accelerator announces second annual open call for submissions
Digital currency and blockchain technology added to this year’s list of “playful tech” eligible startups.
Engineers design artificial synapse for “brain-on-a-chip” hardware
Design is major stepping stone toward portable artificial-intelligence devices.
From undisciplined to interdisciplinary
Math professor Philippe Rigollet, once a “not very disciplined” student, moves between computer science and statistics.
Can computers help us synthesize new materials?
Machine-learning system finds patterns in materials “recipes,” even when training data is lacking.
Inventing the “Google” for predictive analytics
Platform analyzes big data to answer plain-language business queries in minutes instead of months.
Auto-tuning data science: New research streamlines machine learning
A new automated machine-learning system performs as well or better than its human counterparts — and works 100 times faster.
Computer systems predict objects’ responses to physical forces
Results may help explain how humans do the same thing.
Reading a neural network’s mind
Technique illuminates the inner workings of artificial-intelligence systems that process language.
Try this! Researchers devise better recommendation algorithm
Improved recommendation algorithm should work especially well when ratings data are “sparse.”
Building the hardware for the next generation of artificial intelligence
Class taught by Vivienne Sze and Joel Emer brings together traditionally separate disciplines for advances in deep learning.
Artificial intelligence aids materials fabrication
System could pore through millions of research papers to extract “recipes” for producing materials.
Faster big-data analysis
System for performing “tensor algebra” offers 100-fold speedups over previous software packages.