Large language models are not just the future of cybersecurity—they’re the context engine that makes the rest of your ...

New reasoning models have something interesting and compelling called “chain of thought.” What that means, in a nutshell, is that the engine spits out a line of text attempting to tell the user what ...

A challenging research issue of analyzing networks where packets are served probabilistically, such as multi-access networks and wireless networks, is to characterize the stochastic nature of service ...

Origami-inspired structures have found many innovative applications in engineering fields. The expressive volume changes intrinsically related to their geometry is very useful for different purposes.

In the contemporary literature on deterministic machine scheduling, problems are formulated from three different, but equivalent, perspectives. Algebraic models provide a rigorous problem statement in ...

LinearForestRegressor and LinearForestClassifier use the RandomForest from sklearn to model residuals. LinearBoostRegressor and LinearBoostClassifier are available also as TransformerMixin in order to ...

Google also highlighted the model's coding proficiency by mentioning that it is currently leading on the Aider Polyglot benchmark, considered to be a difficult coding-based test. The Gemini 2.5 Pro ...

Anthropic says it has released a new set of AI models tailored for U.S. national security customers. The new models, a custom set of “Claude Gov” models, were “built based on direct feedback ...

In 2023, X changed its privacy policy to use public data on its site to train AI models. Last October, it made further changes to allow third parties to train their models.

This is a summary of: Zhang, Z. et al. Unexpected clustering pattern in dwarf galaxies challenges formation models. Nature 642, 47–52 (2025). The question ...