Reducing food waste to increase access to affordable foods
MIT alumni-founded Spoiler Alert matches major food brands with discount grocers to sell perishable products.
Meet the 2021-22 Accenture Fellows
The 2021-22 Accenture Fellows are bolstering research and igniting ideas to help transform global business.
Nonsense can make sense to machine-learning models
Deep-learning methods confidently recognize images that are nonsense, a potential problem for medical and autonomous-driving decisions.
Q&A: More-sustainable concrete with machine learning
MIT-IBM Watson AI Lab researchers aim to design concrete mixtures that use AI to shrink environmental footprint and cost, while recycling byproducts and increasing performance.
The reasons behind lithium-ion batteries’ rapid cost decline
A new study finds that investments in R&D on materials and chemistry were key, while economies of scale contributed somewhat less.
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.