Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

The tuition fee for international students is £31,100. Self-funded, international (non-EU) students admitted for the January ...

Gibaldi and his colleagues have since analysed several open-access MOF databases commonly used for machine learning and found ...

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...

Researchers at Rice University have created an AI-powered soft robotic arm made from a new light-responsive elastomer.

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...

Long before today’s AI boom, Elektor was documenting the early foundations of artificial intelligence through practical ...

Thomson Reuters employs 26,000 people worldwide, many of whom are skilled technologists. Its Thomson Reuters Labs applied research division has been putting machine learning into operation for years ...

From industrial robots to self-driving cars, engineers face a common problem: keeping machines steady and predictable. When ...

Unlike conventional sustainability audits, which require time-consuming data collection and hardware deployment, this ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...

I have come across various ways of defining Artificial Neural Networks (ANNs). Many of them miss a fundamental characteristic of theirs. An ANN is a machine learning model. Like all machine learning ...