Making sense of all things data
Abel Sanchez helps industries and executives shift their operations in order to make sense of their data and use it to help their bottom lines.
More transparency and understanding into machine behaviors
A new tool helps humans better understand and develop artificial intelligence models by searching and highlighting representative scenarios.
Political scientist In Song Kim receives the 2021 Levitan Prize
New project by inventor of LobbyView.org will advance trade theory and the ability of citizens to influence public policymaking.
Translating lost languages using machine learning
System developed at MIT CSAIL aims to help linguists decipher languages that have been lost to history.
Accelerating data-driven discoveries
Life science companies use Paradigm4’s unique database management system to uncover new insights into human health.
Using AI to predict breast cancer and personalize care
MIT/MGH's image-based deep learning model can predict breast cancer up to five years in advance.
Computer searches telescope data for evidence of distant planets
Machine-learning system uses physics principles to augment data from NASA crowdsourcing project.
JDA Software collaborates with MIT to advance research in intelligent supply chains
Multiyear collaboration, led by Professor David Simchi-Levi, will focus on advancing research in machine learning, optimization, and consumer behavior modeling.
Political Methodology Lab to dig deep into new kinds of data
Founder Teppei Yamamoto designs new tools to comprehend political behavior transformed by digital technology.
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.
Startup makes labs smarter
Platform connects individual pieces of lab equipment, compiles data in the cloud for speedier, more accurate research.
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.
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.
How neural networks think
General-purpose technique sheds light on inner workings of neural nets trained to process language.