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 ...

Heriot-Watt University research warns that cost-cutting use of generative AI in machine learning could increase cyber-attack, ...

A new academic paper warns that integrating generative AI into machine learning workflows can increase risks such as bias, ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

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 ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

CU Anschutz researcher Michael A. David, PhD, is turning to a subset of AI to enhance the field of orthopedics and helping others do the same.

Under cover The new transfer-learning system could be used to identify shipments of illicit nuclear materials. (Courtesy: Shutterstock/Gualtiero Boffi) Machine-learning could help us use cosmic muons ...