AI system makes models like DALL-E 2 more creative
Researchers develop a new method that uses multiple models to create more complex images with better understanding.
Researchers develop a new method that uses multiple models to create more complex images with better understanding.
Study finds computer models that predict molecular interactions need improvement before they can help identify drug mechanisms of action.
Lincoln Laboratory Supercomputing Center dataset aims to accelerate AI research into managing and optimizing high-performance computing systems.
An MIT-developed device with the appearance of a Wi-Fi router uses a neural network to discern the presence and severity of one of the fastest-growing neurological diseases in the world.
Mary Ellen Zurko pioneered user-centered security in the 1990s. Now she’s using those insights to help the nation thwart influence operations.
Researchers found that an understudied component of computer processors is susceptible to attacks from malicious agents. Then, they developed mitigation mechanisms.
The faculty members will work together to advance the cross-cutting initiative of the MIT Schwarzman College of Computing.
Inspired by a fiddler crab eye, scientists developed an amphibious artificial vision system with a panoramic visual field.
Researchers use machine learning to automatically solve, explain, and generate university-level math problems at a human level.
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
Using a randomized field experiment, researchers discover that Wikipedia articles affect judges’ legal reasoning.
Neuroscience professor and Science Hub investigator Ted Adelson explains how simulating the sense of touch with a camera can make robots smarter.
“Interpretability methods” seek to shed light on how machine-learning models make predictions, but researchers say to proceed with caution.
Professor of electrical engineering and computer science will receive additional support to advance his research and career.
With FabO, PhD student Dishita Turakhia wants to empower students to learn digital fabrication by making video game objects and characters come alive.