NumPy is the backbone of Python’s data science stack, offering lightning-fast array operations, rich statistical functions, and powerful optimization techniques. By mastering vectorization, ...

AI reasoning does not necessarily require spending huge amounts on frontier models. Instead, smaller models can yield ...

Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

Abstract: The operators and nodes of Internet of things (IoT) networks often perform resource allocation, where they may solve a mathematical program to compute the optimal allocation of resources or ...

Businesses are under immense pressure to make faster, smarter, and more transparent decisions that balance profitability with sustainability, efficiency with resilience, and automation with ...

In this tutorial, we build a production-style Route Optimizer Agent for a logistics dispatch center using the latest LangChain agent APIs. We design a tool-driven workflow in which the agent reliably ...

In this tutorial, we implement an end-to-end Direct Preference Optimization workflow to align a large language model with human preferences without using a reward model. We combine TRL’s DPOTrainer ...

Learn how to calculate and plot mathematical functions using a spreadsheet. This tutorial shows step-by-step how to set up formulas, visualize data, and create clear graphs for math and science ...

Olivera Ciraj Bjelac, IAEA Department of Nuclear Sciences and Applications To support hospitals and specialists around the world in meeting their safety standards requirements, the IAEA has produced a ...

Supply chains consist of imperfect humans struggling to make perfect decisions. In the end, though, it all comes down to a game of numbers. That, at least, is the theory behind mathematical ...