Health insurers continue to face mounting pressure to improve member engagement, strengthen retention, and manage risi ...

BigBear.ai Holdings, Inc. BBAI is steadily evolving from a pure-play AI software provider into a broader industrial ...

Spanish control systems specialist Sunner has launched True Wind, a predictive monitoring system that detects wind-induced ...

Wildfires are becoming more frequent and more intense worldwide. Fires often become infernos because of heat, drought and wind, especially in the summer. The problem is compounded by the climate ...

AMD has acquired memory optimization startup MEXT, bringing predictive memory optimization software into its AI infrastructure portfolio as enterprises look for ways to manage increasingly ...

The dominant failure mode of industrial predictive maintenance is not model inaccuracy. It is a broken handoff between detection and response. This paper describes an integration architecture that ...

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 ...

Abstract: In hybrid model predictive control (MPC), a mixed-integer quadratic program (MIQP) is solved at each sampling time to compute the optimal control action. Although these optimizations are ...

The TensorDL-MPC toolbox is a Python-based software developed using the TensorFlow framework. It leverages deep learning techniques to enhance the performance of traditional Model Predictive Control ...

Carissa Véliz is an Associate Professor in Philosophy at the Institute for Ethics in AI at the University of Oxford, where she researches privacy, AI ethics, and public policy. She is the author of ...

Blake Moret, CEO, Rockwell Automation, opened the 2025 Automation Fair by stressing that manufacturers are using automation to move toward autonomy, machine learning and AI strategies. In essence, ...