Theoretical breakthrough could boost data storage
New work on linear-probing hash tables from MIT CSAIL could lead to more efficient data storage and retrieval in computers.
Studying learner engagement during the Covid-19 pandemic
Researchers analyze and compare pre- and post-pandemic data for introductory biology MOOC 7.00x.
Differences in T cells’ functional states determine resistance to cancer therapy
Researchers decipher when and why immune cells fail to respond to immunotherapy, and suggest that T cells need a different kind of prodding in order to re-engage the immune response.
Taming the data deluge
A National Science Foundation-funded team will use artificial intelligence to speed up discoveries in physics, astronomy, and neuroscience.
Exploring the human stories behind the data
Senior Brian Williams has used bioengineering as a launchpad to combat racism in public health — and he doesn’t want to stop there.
Making machine learning more useful to high-stakes decision makers
A visual analytics tool helps child welfare specialists understand machine learning predictions that can assist them in screening cases.
New integrative computational neuroscience center established at MIT’s McGovern Institute
The K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center will use mathematical tools to transform data into a deep understanding of the brain.
Deep learning helps predict traffic crashes before they happen
A deep model was trained on historical crash data, road maps, satellite imagery, and GPS to enable high-resolution crash maps that could lead to safer roads.
Making data visualizations more accessible
Researchers find blind and sighted readers have sharply different takes on what content is most useful to include in a chart caption.
Enabling AI-driven health advances without sacrificing patient privacy
Secure AI Labs, founded by alumna Anne Kim and MIT Professor Manolis Kellis, anonymizes data for AI researchers.
3 Questions: Kalyan Veeramachaneni on hurdles preventing fully automated machine learning
Researchers hope more user-friendly machine-learning systems will enable nonexperts to analyze big data — but can such systems ever be completely autonomous?
Data flow’s decisive role on the global stage
New research by political science PhD candidate Meicen Sun illuminates the broad economic and political impacts of internet restrictions.
How quickly do algorithms improve?
MIT scientists show how fast algorithms are improving across a broad range of examples, demonstrating their critical importance in advancing computing.
End-to-end supply chain transparency
Leonardo Bonanni MA ’03, SM ’05, PhD ’10 is founder and CEO of Sourcemap, an MIT Media Lab spinoff helping multinationals gain unprecedented insights into their supply chains.