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

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

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 ...

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

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, ...

A 2026 Legal Overview. Legal News and Analysis - EU, Europe - Labour & Employment, Telecommunications, Media & Technology - Conventus Law ...

How Shekhar Natarajan’s ‘Angelic Intelligence’ — born from Indian philosophy, poverty, and a mother’s sacrifice — is reshaping the global conversation on AI from the UK to Davos to New Delhi Shekhar ...

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

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

In retinal disease screenings, artificial intelligence can help deliver diagnoses earlier, giving physicians more time to preserve vision.

How Can Organizations Manage Non-Human Identities for Enhanced Cloud Security? Is your organization effectively managing the surge in non-human identities (NHIs) within your cybersecurity?

Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.