New technique helps robots pack objects into a tight space
Researchers coaxed a family of generative AI models to work together to solve multistep robot manipulation problems.
Researchers coaxed a family of generative AI models to work together to solve multistep robot manipulation problems.
Some researchers see formal specifications as a way for autonomous systems to "explain themselves" to humans. But a new study finds that we aren't understanding.
Images that humans perceive as completely unrelated can be classified as the same by computational models.
Amid the race to make AI bigger and better, Lincoln Laboratory is developing ways to reduce power, train efficiently, and make energy use transparent.
MIT engineers develop a long, curved touch sensor that could enable a robot to grasp and manipulate objects in multiple ways.
Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft.
By focusing on causal relationships in genome regulation, a new AI method could help scientists identify new immunotherapy techniques or regenerative therapies.
Study shows users can be primed to believe certain things about an AI chatbot’s motives, which influences their interactions with the chatbot.
With the growing use of AI in many disciplines, the popularity of MIT’s four “blended” majors has intensified.
By analyzing epigenomic and gene expression changes that occur in Alzheimer’s disease, researchers identify cellular pathways that could become new drug targets.
This technology for storing and transmitting quantum information over lossy links could provide the foundation for scalable quantum networking.
Inspired by physics, a new generative model PFGM++ outperforms diffusion models in image generation.
Co-directors Youssef Marzouk and Nicolas Hadjiconstantinou describe how the standalone degree aims to train students in cross-cutting aspects of computational science and engineering.
The advance brings quantum error correction a step closer to reality.
Department of Brain and Cognitive Sciences faculty members Ev Fedorenko, Ted Gibson, and Roger Levy believe they can answer a fundamental question: What is the purpose of language?