Data science and machine learning technologies have long been important for data analytics tasks and predictive analytical software. But with the wave of artificial intelligence and generative AI ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

The convergence of AI and cybersecurity is no longer theoretical; it is the new battleground for protecting national data, ...

And the machine learning algorithm is publicly available for researchers who might want to use it. “We’ve built the model in such a way that it’s fit for purpose,” Zhang said. “The application of ...

Please provide your email address to receive an email when new articles are posted on . The model, along with a traffic-light system, boosted sensitivity and specificity of agitation recognition.

Overview: AI skills in 2026 require both technical understanding and the ability to apply them responsibly at work.Machine ...

Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by University of Florida engineering professor Megan Butala enables a novel ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...

Researchers at City of Hope, and at the Translational Genomics Research Institute (TGen), have developed and tested a machine-learning approach that they suggest could one day enable earlier ...

Please provide your email address to receive an email when new articles are posted on . Machine learning models could aid early diagnosis of rapidly progressing knee OA among younger patients. The ...