Artificial intelligence | MIT News | Massachusetts Institute of …
5 days ago · Artificial intelligence. Download RSS feed: News Articles / In the ... 15 of 1287 news articles related to ...
New hardware offers faster computation for artificial intelligence ...
Jul 28, 2022 · MIT researchers created protonic programmable resistors — building blocks of analog deep learning systems — that can process data 1 million times faster than synapses in the human brain. These ultrafast, low-energy resistors could enable analog deep learning systems that can train new and more powerful neural networks rapidly, which could be used for areas …
Machine learning | MIT News | Massachusetts Institute of …
5 days ago · Teaching AI to communicate sounds like humans do. Inspired by the human vocal tract, a new AI model can produce and understand vocal imitations of everyday sounds.
Artificial intelligence | MIT News | Massachusetts Institute of …
Jan 7, 2025 · Writing for Wired, Prof. Daniela Rus, director of CSAIL, highlights the future of “physical intelligence, a new form of intelligent machine that can understand dynamic environments, cope with unpredictability, and make decisions in real time.” Rus writes: “Unlike the models used by standard AI, physical intelligence is rooted in physics ...
Artificial intelligence | MIT News | Massachusetts Institute of …
Dec 11, 2024 · Researchers reduce bias in AI models while preserving or improving accuracy. A new technique identifies and removes the training examples that contribute most to a machine-learning model’s failures.
MIT researchers introduce generative AI for databases
Jul 8, 2024 · Researchers from MIT and elsewhere developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes. Their method combines probabilistic AI models with the programming language SQL to provide faster and more accurate results than other methods.
Combining next-token prediction and video diffusion in ... - MIT …
Oct 16, 2024 · Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have proposed a simple change to the diffusion training scheme that makes this sequence denoising considerably more flexible. When applied to fields like computer vision and robotics, the next-token and full-sequence diffusion models have capability trade-offs.
Artificial intelligence meets “blisk” in new DARPA ... - MIT News
Oct 8, 2024 · Artificial intelligence meets “blisk” in new DARPA-funded collaboration Artificial intelligence meets “blisk” in new DARPA-funded collaboration Collaborative multi-university team will pursue new AI-enhanced design tools and high-throughput testing methods for next-generation turbomachinery.
To build a better AI helper, start by modeling the ... - MIT News
Apr 19, 2024 · Jacob wrote the paper with Abhishek Gupta, assistant professor at the University of Washington, and senior author Jacob Andreas, associate professor in EECS and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL). The research will be presented at the International Conference on Learning Representations. Modeling ...
Controlled diffusion model can change material properties in
May 28, 2024 · Using a synthetic dataset, a new image-to-image diffusion model known as Alchemist can adjust the roughness, metallicity, albedo, and transparency of specific objects within visual assets for pictures, video games, VFX, and robotic training.