English look at AI and the way its text generation works. Covering word generation and tokenization through probability scores, to help ...

A major new systematic review finds that explainability has become the weakest link in the generative AI ecosystem, with ...

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...

Abstract The theory of quantum states over time extends the density operator formalism into the temporal domain, providing a unified treatment of ...

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...

Cancer therapy and synthetic biology are converging around a shared problem that has long frustrated oncologists and ...

Dear Doc, Many questions about artificial intelligence (AI) remain up in the air as judges try to keep up with technology that is developing faster than the speed of light. It seems to me that many of ...

Abstract: When prior sample data are limited and the distribution parameters (DP) of random inputs exhibit uncertainty, Bayesian theory can be utilized to update the distribution of DPs and the ...

Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...