Most factory projects finish late and over budget. Physical AI simulations are cutting costs by 30% and reducing errors by 90 ...

Ferrari has never been shy about bending airflow to its will, but its latest patent sketches out something far more radical than a pop up spoiler. The company is exploring bodywork that can subtly ...

Abstract: This paper presents a model predictive control (MPC) with recursive feasibility guarantees for robots with LiDAR sensory measurements. Control barrier functions (CBF) are incorporated within ...

Abstract: In this paper, an improved finite control set-model predictive control strategy for four-level nested neutral point clamped (4L-NNPC) converters is proposed. Compared with two-level ...

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

A key element to this paradigm shift is the deployment of a distributed sensor network that can continuously monitor water ...

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional characteristics to estimate the likelihood that a college might close.

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.