AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...

BackgroundAs pivotal drivers of smart cities, mega-mobility systems integrate large-scale transportation networks, communication nodes, and energy ...

The American Control Conference (ACC), the annual conference of the American Automatic Control Council (AACC), will offer ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

Better understanding of the design, implementation and operation of these cyber-physical systems can enable optimized process ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized energy management. Yet as renewable penetration rises, maintaining stable ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

In recent years, there have been developments to overcome the challenges in energy production associated with the performance of vanadium redox flow batteries (VRFBs). This segment ...

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

Grid scarcity, capital constraints, and priority allocation were already big topics in the energy industry before the AI revolution ...

C.H. Robinson Worldwide, Inc. (NASDAQ:CHRW) Q4 2025 Earnings Call Transcript January 28, 2026 C.H. Robinson Worldwide, Inc.

Q4 2025 Earnings Call January 27, 2026 4:30 PM ESTCompany ParticipantsMichael BauerEric Clark - President, CEO ...