Large language models can generate useful insights, but without a true reasoning layer, like a knowledge graph and graph-based retrieval, they’re flying blind.

A new paper from Apple has reported some worrying results for the future of do-it-all artificial intelligence, showing that ...

By Ramesh Srivatsava ARUNACHALAM[1]The Third UN Ocean Conference (UNOC3), scheduled for June 9-13, 2025, in Nice, France, represents an unprecedented opportunity for global marine conservation as ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more ...

Review the data, and adjust your conceptual model accordingly based on the results and measurements. What Does the Term "Noise" Mean in Marketing?. "Noise" has a negative connotation in ...

Discover how Magistral AI’s open-source reasoning model is transforming industries with human-like cognitive processes and ...

The new study, titled "The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens ...

Asking AI reasoning models questions in areas such as algebra or philosophy caused carbon dioxide emissions to spike ...

In a recent article published in Engineering, researchers Li Guo and Jinghai Li from the Chinese Academy of Sciences explore ...