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Massachusetts Institute of Technology


Putting vision models to the test

Researchers at MIT have demonstrated that artificial neural networks can be used to drive specific brain neurons, showing a strong activation pattern. The study suggests that these models could be used to control brain states in animals and establish their usefulness, paving the way for further research.

Can science writing be automated?

A team of scientists at MIT developed a neural network that can read scientific papers and generate a plain-English summary. The system, called RUM, uses vectors rotating in multidimensional space to represent words and improve memory and recall capabilities.

SourceMassachusetts Institute of Technology·JournalTransactions of the Association for Computational Linguistics·DateApr 18, 2019

Shrinking the carbon footprint of a chemical in everyday objects

MIT researchers develop an alternative approach to synthesizing epoxides, a type of chemical used in plastics, pharmaceuticals, and textiles, that uses electricity instead of fossil fuels, eliminating carbon dioxide emissions. The process can be done at room temperature and atmospheric pressure, reducing industrial energy consumption.

SourceMassachusetts Institute of Technology·JournalJournal of the American Chemical Society·DateApr 9, 2019

The future of agriculture is computerized

Researchers at MIT's Media Lab have created basil plants with enhanced flavor and potential health benefits using computer algorithms. The team used hydroponic containers with controlled environmental conditions to grow the plants, which were then analyzed for volatile compounds. Machine learning algorithms evaluated millions of possib...