Examining mistakes gives students a chance to discuss misconceptions openly and find new approaches to solving problems.

Abstract: Large language models (LLMs) have attracted considerable attention as they are capable of showcasing impressive capabilities generating comparable high-quality responses to human inputs.

Anthropic partnered with the US government to create a filter meant to block Claude from helping someone build a nuke.

Joy and enthusiasm provide essential components to build the motivation and perseverance needed to understand and succeed in math. Neuroimaging and cognitive neuroscience research show correlations ...

Large language models (LLMs) can store and recall vast quantities of medical information, but their ability to process this information in rational ways remains variable. A new study led by ...

Abstract: Long-context question answering (QA) remains a significant challenge, particularly when using small-scale language models (SLLMs) with limited computational capacity. Despite their ...

In a recent study, mathematicians from Freie Universität Berlin have demonstrated that planar tiling, or tessellation, is much more than a way to create a pretty pattern. Consisting of a surface ...

SUSSEX, Wis., Oct. 9, 2025 /PRNewswire/ -- Quad/Graphics Inc. (NYSE: QUAD), a marketing experience company that solves complex marketing challenges for its clients, is rolling out natural language ...

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