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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.

Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

This repository implements the Intent Prediction-Driven Model Predictive Control (Intent-MPC) framework, enabling the robot to navigate safely in dynamic environments ...

Abstract: This article presents a deep learning-based model predictive control (MPC) algorithm for control affine nonlinear discrete-time systems with matched and bounded state-dependent uncertainties ...

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 ...

Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China School of Chemical Engineering, University of Chinese Academy of ...

Abstract: Model predictive control (MPC) has been applied to parallel power converters to achieve current tracking and zero-sequence circulating current (ZSCC) suppression. To facilitate real-time ...