Adam Zewe, MIT News Office
MIT researchers have developed a method that helps identify and control larger numbers of atomic-scale defects, to build a bigger system of qubits.
How do powerful generative artificial intelligence (AI) systems like ChatGPT work, and what makes them different from other types of AI?
By blending 2D images with foundation models to build 3D feature fields, a new MIT method helps robots understand and manipulate nearby objects with open-ended language prompts.
Researchers from MIT and NVIDIA developed two complementary techniques that could dramatically boost the speed and performance of computing applications such as generative AI.
MIT researchers developed a technique that coaxed a family of generative AI models to work together to solve multistep robot manipulation problems.
MIT engineers develop a long, curved touch sensor that could enable a robot to grasp and manipulate objects in multiple ways.
MIT researchers' advances help bring quantum error correction a step closer to reality and make them almost 100% accurate.
A technique has been developed that lets a robot to reason efficiently about moving objects using more than just its fingertips. See video.
Researchers developed a machine-learning technique that can efficiently learn to control a robot, leading to better performance with less data required.
MIT researchers developed a framework that helps a nontechnical user understand why a robot failed and fine-tune it with minimal effort to perform a task effectively.