Researchers say a new jailbreak technique tricked AI models into treating attacker-written text as their own reasoning, ...

Utilities and power generation companies are bolstering operational efficiency and plant reliability by implementing advanced ...

Abstract: With the growth of wide-bandgap devices, it is necessary to exploit the high-switching-frequency benefits to improve the performance of power converter, thus requiring a higher ...

As enterprises embrace agentic AI and vibe coding, Secure Code Warrior CEO and co-founder Pieter Danhieux warns that ...

As organisations ramp up the use of AI coding agents in software development, they may find costs increase significantly if such tools are overused.

Construction has always relied on forecasting. Contractors estimate costs, project labor needs, sequence activities, manage procurement and monitor cash flow. Predictive analytics improves that work ...

Researchers at Mass General Brigham have developed a series of artificial intelligence (AI) tools that uses machine learning to identify individuals who may be at risk for intimate partner violence ...

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 ...

TD-MPC is a framework for model predictive control (MPC) using a Task-Oriented Latent Dynamics (TOLD) model and a terminal value function learned jointly by temporal difference (TD) learning. TD-MPC ...

Abstract: Model predictive control (MPC) is an optimization-based strategy for high-performance control that is attracting increasing interest. While MPC requires the online solution of an ...

Under a newly released action plan for artificial intelligence, the technology will be integrated into U.S. government functions. The plan, announced July 23, is another step in the Trump ...