Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

Abstract: This article presents an improved reduced-sensor-based optimal switching sequence model predictive current control (OSS-MPCC) algorithm for a grid-tied inverter with the LCL filter with only ...

In June, headlines read like science fiction: AI models “blackmailing” engineers and “sabotaging” shutdown commands. Simulations of these events did occur in highly contrived testing scenarios ...

Introduction: This work presents an approach to collision avoidance in multi-agent systems (MAS) by integrating Conflict-Based Search (CBS) with Model Predictive Control (MPC), referred to as Conflict ...

The global energy sector is undergoing a transformation, with the electric grid expanding to accommodate an increasing number of assets, including solar arrays, wind farms, batteries, electric ...

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.

From Reaction to Anticipation: Predictive analytics empower security teams to transition from reactive responses to proactive strategies by leveraging data to anticipate risks before they escalate.

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 ...

This study introduces an Adaptive Model Predictive Control (AMPC) framework for intelligent trajectory planning in autonomous vehicles navigating complex and dynamic highway environments. The proposed ...

Predictive maintenance can help manufacturers save on costs by spotting equipment issues early. Companies like Aquant and Gecko Robotics provide AI-powered tools that inform maintenance decisions.