The statistics cited by the authors point to exponential growth in the deployment of thermal energy as a sustainable and renewable source. They reveal that global consumption surged from approximately ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

By reviewing three decades of AI applications in electrocatalysis, researchers reveal how the field has shifted from isolated data analysis toward end-to-end, data-driven discovery. The work ...

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 ...

TD Cowen initiates Buy rating projecting 70% annual growth to $135M by 2028 as quantum systems gain enterprise adoption.

The University of Louisiana at Lafayette unveils a new PhD blending AI, data science and leadership, with online and ...

The devices are located closest to the many sensors at the edge that gather sensor data, control motors, trigger alarms and actuators, and more.

The Department of Energy (DOE) has released specifications for 26 artificial intelligence (AI) challenges under its Genesis Mission that could reshape how ...

With OpenShift 4.21, you can simultaneously modernize existing IT infrastructure and accelerate AI innovation on a single, ...

A recent narrative review concluded that artificial intelligence (AI) has a significant impact on gastroenterology, with ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...