In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

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 ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of configurations and complex patterns, making simulations ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

AI’s ultimate success in India will not be measured by the size of its GPU clusters, but by how our AI applications can help improve the quality of life of our citizens – e.g. when AI can help ASHA ...

The global electronics manufacturing industry is undergoing rapid transformation. The increasing complexity of devices, shrinking component sizes, and the rise ...

Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of ...