A new study reveals that top models like DeepSeek-R1 succeed by simulating internal debates. Here is how enterprises can harness this "society of thought" to build more robust, self-correcting agents.

Our evolved craving for cause and effect once ensured survival but now fuels misunderstanding. Learning to favor correlation ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Kitsap Regional Library has released its list of the most popular books from 2025, and while it was a big year for big names, readers continued to show their love for local authors as well.

AI is eliminating the either/or of qualitative depth and quantitative scale, giving marketers a new way to understand people ...

While no one can predict the future, we can leverage the concept of empirical regularity to make more informed trading ...

Chinese large language model startup StepFun's speech model Step-Audio R1.1 (Realtime) ranked first globally in the Speech Reasoning category with an accuracy rate of 96.4 percent, according to data ...

The research relevant to this article was funded by the John Templeton Foundation. Stylianos Syropoulos does not work for, consult, own shares in or receive funding from any company or organization ...

Abstract: Great efforts have been made to investigate AI’s ability in abstract reasoning, along with the proposal of various versions of RAVEN’s progressive matrices (RPM) as benchmarks. Previous ...

For many teenagers, opening the Bible can feel like stepping into another world, full of unfamiliar names, ancient customs, and stories that don’t always seem to connect with modern life. Youth ...