Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

As the population ages, China will face an ever-increasing burden from CS. Strategies targeting elder population and high-risk groups should be prioritized in the establishment of management related ...

Aselsan plans to conduct its first live dropping tests of the AselBuoy passive sonobuoy from an unmanned aerial vehicle in the coming period, according to CEO Ahmet Akyol.

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

The rapid emergence of Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) is catalyzing a paradigm shift in mental health research ...

Organ-preserving treatment strategies are increasingly being explored for patients with rectal and esophageal cancers, with the shared goal of maintaining ...

Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

How Can Non-Human Identities Strengthen Cybersecurity? Are organizations truly leveraging the full potential of Non-Human Identities (NHIs) in their quest for robust cybersecurity? With cybersecurity ...

7 AI coding techniques that quietly make you elite ...

What Role Do Non-Human Identities Play in Enhancing Cybersecurity? How can organizations effectively manage and secure the growing number of non-human identities (NHIs) their systems rely on? NHIs, ...

The typical failure pattern is predictable. A treasury team deploys an AI forecasting tool, but forecasts are inaccurate and the vendor gets blamed. But if the organisation has five definitions of ...