In cybersecurity, the most effective professionals will treat AI as a tool to enhance their thinking, not replace it.

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 ...

Scalable, production-level AI requires two bases: the known sources of human knowledge and a reliable data infrastructure.

Humans rely on abstraction and conceptual frameworks, whereas AI systems apply statistical or rule-based methods, each with ...

The earliest stages of ideation can be both the most exciting and the most challenging part of the design process. Ideas flow ...

Scientists have developed and tested a deep-learning model that could support clinicians by providing accurate results and clear, explainable insights – including a model-estimated probability score ...

2) The Oral Glucose Tolerance Test (OGTT) evaluates blood sugar levels two hours post-consumption of a 75 g glucose solution.

Two projects from the Arab World exemplify the potential of AI-driven approaches to disaster response and displacement monitoring.

The enteric nervous system (ENS), the largest division of autonomic nervous system, is a tantalizing frontier in neuroscience. With the advent of single-cell transcriptomics, the ENS has been ...

Fully autonomous home-cage training system HABITS enables mice to learn complex cognitive behaviors without human intervention, expanding behavioral paradigms and optimizing training efficiency ...

Recent advancements in artificial intelligence have led to the development of a brain-scan-trained AI capable of predicting human choices with remarkable accuracy. This breakthrough technology holds ...

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