Addictive apps. Persuasive features. Deceptive patterns. Is Big Tech’s ‘defective design’ really a design problem? A ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Big data has well and truly arrived. But for all its immense potential, it brings unprecedented challenges for industry researchers. “Scientists, from research techs to principal investigators, spend ...

This repository releases the official code for Mini-o3. We achieve the state-of-the-art results on various benchmarks and present a full training recipe to reproduce the OpenAI o3-style deep ...

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

Patterns reveal the individual: A novel AI algorithm equips researchers with a powerful new tool to accurately identify ...

When and where the next large earthquake will strike remains one of the most difficult questions in geoscience. Researchers ...

The major veins of Chinese money plant leaves form what's called a Voronoi diagram. It might be caused by a plant-growth hormone that emanates in waves from developing leaves' pores ...

The truth behind AI engines' citation patterns and how to take advantage of it.

Mathematics In AI: Mathematical concepts such as statistics and probability form the foundation of Artificial Intelligence (AI) and its branches like Machine Learning and Deep Learning. Machine ...

We tested all three against 1,674,518 English editorial articles and 1,690,295 French articles from the 1492.vision Discover corpus (November 2025 to May 2026): about 3.4 million editorial articles ...