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Generate realistic test data in Python fast. No dataset required
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
Systems like OpenAI’s GPT-5 are accelerating research in math, biology and chemistry. But there is a debate over whether it can do that work on its own. Credit...Agnes Jonas Supported by By Cade Metz ...
A Mathematician with early access to XAI Grok 4.20, found a new Bellman function for one of the problems he had been working ...
Abstract: With the rapid deployment of Internet of Things (IoT) devices in resource-constrained environments, lightweight and energy-efficient random number generation has become increasingly crucial.
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