Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

By the time Carnegie Mellon University (CMU) researcher Hans Moravec published his seminal book on robotics “Mind Children” ...

Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...

Agnik, the global leader of the vehicle analytics market, announced today that it is going to offer a wide range of Deep Machine Learning-based solutions for powering its new and existing products in ...

Trends such as industry-specific AI and a new data economy will affect physical AI in 2026, says a Universal Robots executive ...

For decades, dopamine has been celebrated in neuroscience as the quintessential "reward molecule"—a chemical herald of ...

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

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...

NextFin — As billions of dollars pour into humanoid robots and embodied artificial intelligence, SenseTime co-founder Wang Xiaogang says the industry is heading toward a dead end unless it abandons a ...

Predictive orchestration is replacing siloed planning models. AI-powered control towers now integrate procurement, ...

Researchers introduce the EAVM protocol, achieving 17 % lower energy use and 20 % longer network lifetime in IoT systems with ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...