Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and ...

Every therapy, medicine, protocol, consultation, and training system at Madhavbaug represents a seamless balance between ...

Abstract: Robust model predictive control (MPC) algorithms are essential for addressing unavoidable errors due to the uncertainty in predicting real-world systems. However, the formulation of such ...

The new Premix facility in North Carolina with carbon black silos visible on the outside. Premix's new facility in North Carolina features end-to-end automation to provide real-time monitoring of ...

Biotech company Likarda has launched Predictive Polymer Analytics (PPA), a next-generation platform powered by artificial intelligence (AI) that accelerates and de-risks the formulation design process ...

NEW YORK — Ingredion Inc., Westchester, Ill., is developing predictive artificial intelligence (AI) tools to speed innovation and identify new opportunities for growth. Executives speaking at the ...

Dr. Bin Tang, Founder & CEO of Noah Digital, is an internationally recognized AI & digital marketing leader & author of “Local to Global.” For years, digital marketing has been synonymous with ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

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.

This work extends our prior work on the distributed nonlinear model predictive control (NMPC) for navigating a robot fleet following a certain flocking behavior in unknown obstructed environments with ...