In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, could help orthopedic physicians predict when a patient might encounter a bone ...

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 ...

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 ...

A wildfire forecasting system powered by artificial intelligence was around 30% better at identifying dangerous fire ...

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 ...

Please provide your email address to receive an email when new articles are posted on . Familial hypercholesterolemia is underdiagnosed and undertreated. A novel machine learning algorithm identified ...

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a match is found with a donor who dies after cardiac arrest following the ...

What if auditors could predict when errors are more likely to occur in financial reporting? Instead of simply improving ...