Creating and verifying stable AI-controlled systems in a rigorous and flexible way
Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.
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Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.
This book is a must-read for anyone interested in understanding the impact of the internet, artificial intelligence, and the Internet of Things on our daily lives. In a world where…
The approach could help engineers design more efficient energy-conversion systems and faster microelectronic devices, reducing waste heat.
In today’s rapidly evolving landscape of artificial intelligence (AI), training large language models (LLMs) poses significant challenges. These models often require enormous computational resources and sophisticated infrastructure to handle the…
A new technique enables users to compare several large models and choose the one that works best for their task.
AI for UX Designers is a game-changer for anyone looking to incorporate artificial intelligence into their design workflow. This book offers practical advice and real-world examples to help UX designers…
Members of the MIT community, supporters, and guests commemorate the opening of the new college headquarters.
New CSAIL research highlights how LLMs excel in familiar scenarios but struggle in novel ones, questioning their true reasoning abilities versus reliance on memorization.
More accurate uncertainty estimates could help users decide about how and when to use machine-learning models in the real world.
The challenge asked teams to develop AI algorithms to track and predict satellites’ patterns of life in orbit using passively collected data