MIT researchers introduce generative AI for databases
This new tool offers an easier way for people to analyze complex tabular data.
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This new tool offers an easier way for people to analyze complex tabular data.
Co-hosted by the McGovern Institute, MIT Open Learning, and others, the symposium stressed emerging technologies in advancing understanding of mental health and neurological conditions.
With generative AI models, researchers combined robotics data from different sources to help robots learn better.
Three neurosymbolic methods help language models find better abstractions within natural language, then use those representations to execute complex tasks.
For the first time, researchers use a combination of MEG and fMRI to map the spatio-temporal human brain dynamics of a visual image being recognized.
The MIT Schwarzman College of Computing building will form a new cluster of connectivity across a spectrum of disciplines in computing and artificial intelligence.
MIT researchers plan to search for proteins that could be used to measure electrical activity in the brain.
By enabling models to see the world more like humans do, the work could help improve driver safety and shed light on human behavior.
A new study finds that language regions in the left hemisphere light up when reading uncommon sentences, while straightforward sentences elicit little response.
Study shows computational models trained to perform auditory tasks display an internal organization similar to that of the human auditory cortex.