Artificial intelligence | MIT News | Massachusetts Institute of …
4 days ago · 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. October 8, 2024. Read full story.
AI simulation gives people a glimpse of their potential ... - MIT News
Oct 1, 2024 · The AI system uses this information to create what the researchers call “future self memories” which provide a backstory the model pulls from when interacting with the user. For instance, the chatbot could talk about the highlights of someone’s future career or answer questions about how the user overcame a particular challenge.
Massachusetts Institute of Technology - MIT News
Nov 8, 2024 · October 23, 2024. Liquid AI, an MIT startup, is unveiling a new AI model based on a liquid neural network that “has the potential to be more efficient, less power-hungry, and more transparent than the ones that underpin everything from chatbots to image generators to facial recognition systems, reports Will Knight for Wired. Learn more →.
Combining next-token prediction and video diffusion in ... - MIT …
Oct 16, 2024 · Diffusion Forcing, a method led by researchers at MIT CSAIL, can train a neural network to sort corrupted data while anticipating next steps. It can make flexible plans for robots, generate high-quality video, and help AI agents navigate digital environments.
Explained: Generative AI | MIT News | Massachusetts Institute of …
Nov 9, 2023 · Generative AI can be thought of as a machine-learning model that is trained to create new data, rather than making a prediction about a specific dataset. A generative AI system is one that learns to generate more objects that look like the data it was trained on. “When it comes to the actual machinery underlying generative AI and other types ...
MIT researchers advance automated interpretability in AI models
Jul 23, 2024 · They developed “MAIA” (Multimodal Automated Interpretability Agent), a system that automates a variety of neural network interpretability tasks using a vision-language model backbone equipped with tools for experimenting on other AI systems. “Our goal is to create an AI researcher that can conduct interpretability experiments autonomously.
AI assistant monitors teamwork to promote effective ... - MIT News
Aug 19, 2024 · AI to the rescue Even with a sophisticated plan, both human and robotic agents will encounter confusion and even make mistakes if their roles are unclear. This plight looms especially large in search-and-rescue missions, where the objective may be to locate someone in danger despite limited time and a vast area to scan.
New hardware offers faster computation for artificial ... - MIT News
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 like self-driving cars, fraud ...
MIT launches Working Group on Generative AI and the Work of
Mar 28, 2024 · The generative AI wave has elicited excitement, anxiety, and plenty of speculation about what's to come, but no clear answers to these core questions. To discover how generative AI can lead to better jobs, MIT is convening a working group on Generative AI and the Work of the Future. The working group is kicking off with 25 companies and ...
Massachusetts Institute of Technology - MIT News
Oct 1, 2024 · A fast and flexible approach to help doctors annotate medical scans. “ScribblePrompt” is an interactive AI framework that can efficiently highlight anatomical structures across different medical scans, assisting medical workers to delineate regions of interest and abnormalities. September 9, 2024. Read full story.