Abstract: Autonomous driving is producing various novel achievements in integrating different control technologies with machine learning to control intelligent vehicles, i.e., learning-based control.

AI-enabled research tools can accelerate health research, but their data-science roots may clash with epidemiological ...

Public experiment log using Get Physics Done (GPD) with Codex to explore predictive control of tokamak plasma turbulence and confinement. A physics-based flight simulator for optimizing airbrake ...

A familiar adage in the competitive sports world. It’s a term coined by a person not associated with sports, but who knew a few things about adverse circumstances a little more challenging than ...

In this post, the last of a five-part series, we will acquire an understanding of various theories that emphasize the importance of top-down signaling in shaping and enabling conscious perception.

McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 East Dean Keeton Street, Austin, Texas 78712-1589, United States Oden Institute for Computational Engineering and ...

Abstract: This paper shows how explicit model predictive control (MPC) strategies can be implemented in Python. They use a pre-calculated map between state measurements and control inputs to simplify ...

AI & Blockchain Systems Architect. I build RAG pipelines and secure dApps. Founder of Dapp Mentors. AI & Blockchain Systems Architect. I build RAG pipelines and secure dApps. Founder of Dapp Mentors.

This repository contains Python code written by me to implement a wide range of problems/models in data science and predictive analytics. It currently contains the following directories: "machine ...