Abstract: This paper explores the application of Iterative Learning Control (ILC) in enhancing lateral tracking of autonomous vehicles. A kinematic bicycle model ...

AI can deepen thinking, but only when we stay cognitively engaged in the exchange. Good enough answers delivered too fast can end the search before real understanding begins. When and how we use AI ...

Artificial intelligence disputes are rapidly moving beyond copyright and into trade secrets. As companies race to develop and deploy advanced ...

Led by Intrepid Growth Partners and GV (Google Ventures), funding advances Iterative Health's position as the leading multispecialty clinical research network CAMBRIDGE, Mass.--(BUSINESS ...

CAMBRIDGE, Mass.--(BUSINESS WIRE)--Iterative Health, a healthcare technology and services company powering the acceleration of clinical research, today announced the publication of scientific research ...

Dexterous manipulation is a crucial yet highly complex challenge in humanoid robotics, demanding precise, adaptable, and sample-efficient learning methods. As humanoid robots are usually designed to ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...

An artificial-intelligence model did something last month that no machine was ever supposed to do: It rewrote its own code to avoid being shut down. Nonprofit AI lab Palisade Research gave OpenAI’s o3 ...

Abstract: In this work, a model-free adaptive iterative learning control of high-order pseudo partial derivatives is presented for a category of nonlinear discrete-time systems that have features ...

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