Why does cancer sometimes recur even after successful treatment, or why do some bacteria survive despite the use of powerful ...

Researchers tested the accuracy of five AI models using 500 everyday math prompts. The results show that there is roughly a ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Earthquakes may be unpredictable, but their impacts are not entirely mysterious. New modeling techniques are offering a clearer view beneath the surface.

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

The codes and datasets for "Can Large Models Teach Student Models to Solve Mathematical Problems Like Human Beings? A Reasoning Distillation Method via Multi-LoRA Interaction" [IJCAI 2025]. All ...

A few months before the 2025 International Mathematical Olympiad (IMO) in July, a three-person team at OpenAI made a long bet that they could use the competition’s brutally tough problems to train an ...

We investigate glucose-insulin regulation through a delay differential equation model formulated in Sobolev spaces. A physiologically motivated time delay is incorporated into an advanced modeling ...

Mathematics may not be the first thing people associate with Alzheimer’s disease research. But for Pedro Maia, an assistant professor of mathematics and data science at The University of Texas at ...