A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

A number of agencies are enthusiastically working to develop tools that involve artificial intelligence and machine learning. The Department of Veterans Affairs, for instance, had the third-largest ...

Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...

Predicting hospitalization risk among patients on hemodialysis is vital, given their high rate of unplanned hospitalizations related to fluid overload and infections.

Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...