With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

MicroCloud Hologram’s approach uses a logarithmic encoding method to reduce the number of qubits needed, representing an N-dimensional feature space using just log (N) qubits. The system forms an ...

Researchers say the innovation, known as SmartEM, will speed scanning sevenfold and open the field of connectomics to a ...

Marketing’s future doesn't depend on more AI tools; it depends on intelligent orchestration across the entire ecosystem, says ...

Delve into the world of crypto forensics companies and blockchain investigations, exploring techniques for tracking illicit ...

Researchers at Carnegie Mellon University hope an AI-driven speech reconstruction tool can bridge the gap between a growing ...

TensorFlow is an open-source machine learning framework built by Google, and this 100-second video explains how it works from ...