Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

The Nation Newspaper Matching Words with Actions in Pursuit of Environmental Sustainability: From Expert Husein Harun to ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

A new approach enhances AI understanding through hierarchical clustering techniques with LLM-driven keyphrase extraction.

While AI can create space for higher-order thinking, it can also tempt us to outsource that thinking altogether. Good ...

For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...

More than half of organizations told us that AI now drives daily decision-making, yet only 38% believe their employees are ...

Artificial intelligence (AI) and machine learning (ML) are now embedded in the core of banking — powering decisions in credit, fraud, ...