Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

Explore how AI can revolutionize environmental health governance in India, balancing innovation with ethical considerations ...

The code isn’t the most illuminating aspect of Wall Street’s current AI sprint. It’s the atmosphere. Credit traders are half-listening to a risk presentation while scrolling through live pricing in ...

The Embedded Machine Intelligence Lab at ASU is integrating AI into wearable technology to both personalize and assist in the monitoring of users' health and safety.

When Hend Alqaderiwas studying how saliva could predict the risk of diabetes or the severity of a coronavirus infection, she collected a lot of saliva samples-thousands, measuring hundreds of bacteria ...

Automation isn't the same as autonomous trading. Even with agentic capabilities, AI portfolio management still requires human ...

A machine learning (ML) model might retrain or drift between quarterly operational syncs. This means that, by the time an ...

SourceOne® EKPS, developed by Eclipse Data Innovations, introduces a Machine User Interface (MUI) that delivers AI-driven analytics directly to operational users.

The other is to invest in high-fidelity digital twins which are deemed to be powerful but costly, data-hungry, and often slow to implement. A practical middle ground is emerging: the disruption-aware ...

Over the past decade, sports nutrition has quietly become one of the most technologically driven areas of performance support. Dietitians and athletes now interact with artificial intelligence (AI) ...

Neural Concept is helping launch products at 2X the speed. It does this by capturing past knowledge into AI-based ...