TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...

Over the past decades, roboticists have introduced a wide range of systems that can effectively tackle some real-world ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across ...

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap between simulation and ...

REDWOOD CITY, Calif.--(BUSINESS WIRE)--C3 AI (NYSE: AI), the Enterprise AI application software company, today announced C3 AI Agentic Process Automation, a new product that allows enterprises to ...

NEW YORK--(BUSINESS WIRE)--UiPath (NYSE: PATH), a global leader in agentic automation, today announced it has been positioned by Gartner, Inc. as a Leader in the 2025 Gartner® Magic Quadrant™ for ...

Later this year, companies will get a chance to get their hands on Zenda, an Saas that is poised to redefine operational planning and management. MD+DI spoke with Harold Hambrose - Chief Strategy ...

Abstract: Process automation is critical in modern industries, providing systems for precise control of variables such as temperature, pressure, and flow. Traditional control methods like PID ...

Motion control systems lie at the heart of industrial automation at all levels, facilitating precision in control of machinery in fields as diverse as chemical manufacturing, robotics, transport and ...

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