A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...

Abstract: The interpretability of quantum machine learning (QML) refers to the capability to provide clear and understandable explanations for the predictions and decision-making processes of QML ...

High-temperature proton exchange membrane fuel cells (HT-PEMFCs) are highly promising for next-generation aviation, as they can operate above 160 °C and tolerate impurities in the fuel. However, they ...

Abstract: In reconfigurable intelligent surface (RIS) assisted communication systems, downlink cascaded channel estimation faces not only high pilot overhead but also challenges arising from uneven ...

SHENZHEN, China, Nov. 15, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. We need to give airtime to new AI architectures if we want to ...

Want to know how content is scored, ranked, and in some cases, discarded by Perplexity? Independent researcher Metehan Yesilyurt analyzed browser-level interactions with Perplexity’s infrastructure to ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...

With the rapid development of machine learning, Deep Neural Network (DNN) exhibits superior performance in solving complex problems like computer vision and natural language processing compared with ...

Intermountain Health is deploying Layer Health’s artificial intelligence for clinical data abstraction to improve its quality reporting and clinical registry submissions in stroke, surgery and ...