The approach could help animators to create realistic 3D characters or engineers to design elastic products.
SketchAgent, a drawing system developed by MIT CSAIL researchers, sketches up concepts stroke-by-stroke, teaching language models to visually express concepts on their own and collaborate with humans.
Teaching AI models what they don’t know
A team of MIT researchers founded Themis AI to quantify AI model uncertainty and address knowledge gaps.
Researchers developed an algorithm that lets a robot “think ahead” and consider thousands of potential motion plans simultaneously.
Interactive mouthpiece advances opportunities for health data, assistive technology, and hands-free interactions
“MouthIO” is an in-mouth device that users can digitally design and 3D print with integrated sensors and actuators to capture health data and interact with a computer or phone.
Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.
A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.
With a novel simulation method, robots can guess the weight, softness, and other physical properties of an object just by picking it up.
The CausVid generative AI tool uses a diffusion model to teach an autoregressive (frame-by-frame) system to rapidly produce stable, high-resolution videos.
New type of “state-space model” leverages principles of harmonic oscillators.