3Q: Daron Acemoglu on technology and the future of work
"We need to look to the past in the face of modern innovations in machine learning, robotics, artificial intelligence, big data, and beyond," says the economist.
"We need to look to the past in the face of modern innovations in machine learning, robotics, artificial intelligence, big data, and beyond," says the economist.
New Institute-wide initiative will advance human and machine intelligence research.
Digital currency and blockchain technology added to this year’s list of “playful tech” eligible startups.
Design is major stepping stone toward portable artificial-intelligence devices.
Math professor Philippe Rigollet, once a “not very disciplined” student, moves between computer science and statistics.
Machine-learning system finds patterns in materials “recipes,” even when training data is lacking.
Platform analyzes big data to answer plain-language business queries in minutes instead of months.
A new automated machine-learning system performs as well or better than its human counterparts — and works 100 times faster.
Results may help explain how humans do the same thing.
Technique illuminates the inner workings of artificial-intelligence systems that process language.
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.
System could pore through millions of research papers to extract “recipes” for producing materials.