Introduction Artificial Intelligence (AI) enables computers to perform tasks that normally require human intelligence- such as learning from data, recognizing ...

Vybe Energy’s platform uses advanced machine learning and surrogate-based optimization for improved efficiency while ...

Let's discuss why AI-powered data management is becoming essential in industrial automation and how organizations can build it successfully.

The Digital Revolution Behind the Wheel We shape our tools, and thereafter our tools shape us.”— Marshall McLuhan NEW ...

Below is a curated list of machine learning development providers that stand out in 2026 for their ability to build enterprise-grade ML solutions tailored to complex business environments.

CoreWeave’s ARENA enables production-scale AI workload validation on GPU clusters that mirror live infrastructure, giving enterprises empirical insight into performance, cost ...

Indian semiconductor startup Vervesemi raises $10 million to scale ML-enabled analogue chips for EVs, smart energy and ...

Expert insights on the security challenges facing ICS, including legacy infrastructure risks, nation-state threats, ransomware, AI, and strategies to build long-term resilience.

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

Abstract: Quantum Machine Learning (QML) has emerged as a promising frontier within artificial intelligence, offering enhanced data-driven modeling through quantum-augmented representation, ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...