As artificial intelligence becomes a core part of business infrastructure, the quality of training data is now one of the most important factors behind model performance. US-DATA ...

The next frontier of business intelligence belongs to deeply embedded, self-learning AI systems that understand an entire ...

Dr. Jay Bhaumik explains how AI embedded in dispensing, NLP, vision and anomaly detection helps reconcile data flows and ...

This scoping review of 70 studies found that AI is used mainly to detect and measure health-related stigma, rather than to ...

Data science was once locked inside research labs and tech giants with deep pockets. Today, it runs quietly inside tools that ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Mental and neurological disorders, including Alzheimer’s disease, Parkinson’s disease, depression, and schizophrenia, represent a growing global health ...

Hearing impairment selectively disrupts neural tracking of speech at both short and long temporal scales during multi-speaker listening, while preserving intermediate linguistic processing.

This year’s finalists of ITU's AI for Good Machine Learning in 5G Challenge share their stories of success, trial and ...

The list of fragile and conflict-affected situations (FCS) is released annually by the World Bank Group (WBG) and aims to inform strategic and operational decision-making within the WBG. The list ...