If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto ...

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

Models rewrite code to avoid being shut down. That’s why ‘alignment’ is a matter of such urgency.

The Allen Institute of AI updated its reward model evaluation RewardBench to better reflect real-life scenarios for enterprises.

Accurate climate prediction, particularly precipitation forecasting, remains a cornerstone for agriculture, water resource management, and disaster ...

Agentic AI is set to become a vital force in creating intelligent, future-focused HR strategies. By embracing agentic AI as a ...

If you’re deploying or integrating AI at scale, blind spots can quietly introduce bias, security vulnerabilities or ...

Hospitals and health systems are undergoing a seismic shift in how they structure, support and scale their workforces. Faced with persistent labor shortages, financial constraints and rising consumer ...