Artificial intelligence | MIT News | Massachusetts Institute of …
6 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.
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 ...
Massachusetts Institute of Technology - MIT News
5 days ago · 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.
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.
The creative future of generative AI - MIT News
Jan 2, 2024 · The future of generative AI and its impact on art and design was the subject of a sold-out panel discussion on Oct. 26 at the MIT Bartos Theater. It was part of the annual meeting for the Council for the Arts at MIT (CAMIT), a group of alumni and other supporters of the arts at MIT, and was co-presented by the MIT Center for Art, Science, and ...
Computer vision | MIT News | Massachusetts Institute of Technology
Oct 16, 2024 · Combining next-token prediction and video diffusion in computer vision and robotics. A new method 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. October 16, 2024. Read full story.
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.
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 ...