Teaching AI to communicate sounds like humans do
Whether you’re describing the sound of your faulty car engine or meowing like your neighbor’s cat, imitating sounds with your voice can be a helpful way to relay a concept...
A new computational model can predict antibody structures more accurately
By adapting artificial intelligence models known as large language models, researchers have made great progress in their ability to predict a protein’s structure from its sequence. However, this approach hasn’t...
MIT welcomes Frida Polli as its next visiting innovation scholar
Frida Polli, a neuroscientist, entrepreneur, investor, and inventor known for her leading-edge contributions at the crossroads of behavioral science and artificial intelligence, is MIT’s new visiting innovation scholar for the...
Startup’s autonomous drones precisely track warehouse inventories
Whether you’re a fulfillment center, a manufacturer, or a distributor, speed is king. But getting products out the door quickly requires workers to know where those products are located in...
Ecologists find computer vision models’ blind spots in retrieving wildlife images
Try taking a picture of each of North America’s roughly 11,000 tree species, and you’ll have a mere fraction of the millions of photos within nature image datasets. These massive collections...
MIT engineers grow “high-rise” 3D chips
The electronics industry is approaching a limit to the number of transistors that can be packed onto the surface of a computer chip. So, chip manufacturers are looking to build...
Lara Ozkan named 2025 Marshall Scholar
Lara Ozkan, an MIT senior from Oradell, New Jersey, has been selected as a 2025 Marshall Scholar and will begin graduate studies in the United Kingdom next fall. Funded by...
Teaching a robot its limits, to complete open-ended tasks safely
If someone advises you to “know your limits,” they’re likely suggesting you do things like exercise in moderation. To a robot, though, the motto represents learning constraints, or limitations of...
Researchers reduce bias in AI models while preserving or improving accuracy
Machine-learning models can fail when they try to make predictions for individuals who were underrepresented in the datasets they were trained on. For instance, a model that predicts the best...
