Shrinking deep learning’s carbon footprint
Through innovation in software and hardware, researchers move to reduce the financial and environmental costs of modern artificial intelligence.
MIT Quest for Intelligence
Looking into the black box
Recent advances give theoretical insight into why deep learning networks are successful.
What is the Covid-19 data tsunami telling policymakers?
A global team of researchers searches for insights during a weeklong virtual “datathon.”
Identifying a melody by studying a musician’s body language
Music gesture artificial intelligence tool developed at the MIT-IBM Watson AI Lab uses body movements to isolate the sounds of individual instruments.
What jumps out in a photo changes the longer we look
Researchers capture our shifting gaze in a model that suggests how to prioritize visual information based on viewing duration.
Undergraduates develop next-generation intelligence tools
UROP students explore applications in robotics, health care, language understanding, and nuclear engineering.
Marshaling artificial intelligence in the fight against Covid-19
The MIT-IBM Watson AI Lab is funding 10 research projects aimed at addressing the health and economic consequences of the pandemic.
Visualizing the world beyond the frame
Researchers test how far artificial intelligence models can go in dreaming up varied poses and colors of objects and animals in photos.
A foolproof way to shrink deep learning models
Researchers unveil a pruning algorithm to make artificial intelligence applications run faster.
Automating the search for entirely new “curiosity” algorithms
Researchers show that computers can “write” algorithms that adapt to radically different environments better than algorithms designed by humans.
Q&A: Markus Buehler on setting coronavirus and AI-inspired proteins to music
Translated into sound, SARS-CoV-2 tricks our ear in the same way the virus tricks our cells.
“Inactive” pill ingredients could raise the dose of your medication
With help from artificial intelligence, researchers identify hidden power of vitamin A and ordinary chewing gum glaze.
School of Science announces 2020 Infinite Mile Awards
Ten staff members recognized for dedication to School of Science and to MIT.
“Doing machine learning the right way”
Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable, and robust.
Bringing deep learning to life
MIT duo uses music, videos, and real-world examples to teach students the foundations of artificial intelligence.