A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

Researchers at Ben-Gurion University of the Negev have developed a machine-learning algorithm that could enhance our understanding of human biology and disease. The new method, Weighted Graph ...

For decades, AI has run on silicon–a given that few have questioned or tried to challenge. However, one startup believes the future of computing might be grown in a dish and not manufactured in a lab.

Networks exist in both nature—such as biological systems like food webs and gene regulatory networks—and in engineered systems as seen in power grids. Though natural and engineered systems share an ...

Graphics processing units (GPUs), the expensive computer chips made by companies like Nvidia, AMD, and Sima.ai, are no longer the only way to train and deploy artificial intelligence. Biological Black ...

For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and other biological networks look the way they do. The prevailing theory held ...

Researchers have created a 3D programmable device merging living neurons with flexible electronics, achieving high-efficiency ...

The coronavirus disease 2019 (COVID-19) pandemic took a heavy toll on human life and health beginning in 2020. Though the severity of the pandemic has faded, its long-term sequelae continue to plague ...

Biological network analysis is an interdisciplinary field that maps, characterises and elucidates the myriad interactions among genes, proteins, metabolites and other molecular entities. By ...

Biological network methods are computational and statistical techniques used to construct, analyze, and interpret networks that represent biological entities (such as genes, proteins, metabolites, or ...