Many retail myths around product launches still persist—from overstocking safety stock to over-relying on historical data.

Objectives Systemic lupus erythematosus (SLE) is a chronic autoimmune disease characterised by multiorgan involvement.

This systematic review examined the impact of unemployment and re-employment on mental health problems (depression, anxiety ...

Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...

Causal inference is crucial in biological research, as it enables the understanding of complex relationships and dynamic processes that drive cellular behavior, development, and disease.

Despite large language models (LLMs) possessing extensive world knowledge and strong reasoning capabilities, they are widely regarded as excellent few-shot learners; however, they still exhibit ...

How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...

Carnegie Mellon University’s Software Engineering Institute has developed the AI Robustness (AIR) tool, a free, open-source platform that helps agencies uncover why an AI system may produce biased or ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, ...

Wang, S. (2025) A Review of Agent Data Evaluation: Status, Challenges, and Future Prospects as of 2025. Journal of Software ...