Agencies are burdened with growing numbers of requests and more records to manage and parse through. Emerging technology ...

A Sankey diagram illustrating the research landscape of machine learning applications in post-disaster infrastructure recovery. The diagram shows the relationships between machine learning approaches ...

Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion batteries that the modern world is becoming increasingly ...

Researchers have developed a multi-fidelity framework for lithium-ion battery lifespan prediction that combines coupled ...

MLIP calculations successfully identify suitable dopants for a novel photocatalytic material, report researchers from the Institute of Science Tokyo. As demonstrated in their study, published in the ...

Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people with depression are more likely to improve with digital cognitive behavioral ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines. By Daniel Fusch Neel Somani, a ...

Eric Chien, a fellow on the Threat Hunter Team at Broadcom, said government agencies looking to counter attackers should create networks that are secure by default and use tools that leverage ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

Explore how brain computer interface technology and advanced brain-computer interfaces are transforming digital interaction, ...