The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...

Researchers from The University of Osaka's Institute of Scientific and Industrial Research (SANKEN) have successfully ...

Forests are essential for sustaining life on Earth, yet their loss is staggering. Recent statistics reveal that we lost 6.7 million hectares of tropical forest in just one year, equating to the loss ...

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...

In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have revolutionized data processing, offering unparalleled accuracy across various ...

Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a ...

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

David Baker, Nobel Prize laureate and UW biochemistry professor, detailed the design and applications of new proteins using ...

Blood oxygen level-dependent functional magnetic resonance imaging (BOLD-fMRI) is a cornerstone of non-invasive brain function investigation, yet its ...

A deep-sea exploration artificial intelligence (AI) model, developed by a team led by Chinese scientists, was launched this ...