New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

The authors analyze the interest rate risk in the banking book regulations, arguing that financial institutions must develop robust models for forecasting ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, ...

Artificial intelligence (AI) has rapidly become one of the most frequently referenced concepts in high-performance sport. It ...

Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Zero-reliance financial automation is a development in which loss of one point does not extend to the other payment network, ...

A new study finds that humans and AI spot different kinds of deepfakes — hinting at the need to team up to fight them.

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...