These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

The one chip startup building accelerators for something other than AI boasts performance up 10x that of modern GPUs using a ...

The UC Berkeley crew has now shown the value of AI-based optimization work by having OpenEvolve work out a more efficient approach to load balancing across GPUs handling LLM inference.

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...

Apple® today unveiled a new 14-inch MacBook Pro®, featuring the incredibly powerful Apple M5 chip. With M5, the 14-inch MacBook Pro gets even faster, more capable, and delivers a huge leap in AI ...

This study offers a valuable methodological advance by introducing a gene panel selection approach that captures combinatorial specificity to define cell identity. The findings address key limitations ...

This important work employed a recent, functional muscle network analysis for evaluating rehabilitation outcomes in post-stroke patients. While the research direction is relevant and suggests the need ...

If you want to pass the GH-300 GitHub Copilot Certification exam on your first attempt, you not only need to learn the exam material, but also master how to analyze and answer GitHub Copilot exam ...

The Q-matrix serves as a bridge that links items and attributes, and its accuracy affects the results of cognitive diagnosis. Inaccuracy of the Q-matrix are a common issue frequently encountered in ...