Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What ...

Abstract: This paper reviews the topic of true time delay (TTD) and its importance and implications in wideband imaging phased arrays. The paper describes an early analog version of TTD using the ...

Harvard's free programming classes teach you how to think, debug, and adapt in an AI-driven world where knowing code matters more than ever.

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...

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Abstract: Matrix computation is ubiquitous in modern scientific and engineering fields. Due to the high computational complexity in conventional digital computers, matrix computation represents a ...