See an AMD laptop with a Ryzen AI chip and 128GB memory run GPT OSS at 40 tokens a second, for fast offline work and tighter ...
Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...
Abstract: In this letter, we present a pixel-level predictive sampling method for image sensing and processing to reduce the computing overhead for power-limited image sensing systems. The predictive ...
Linus Torvalds has tried Vibe Coding and successfully had a Python audio tool written for him. However, he rejects it for the ...
A team of scientists funded by Asari AI, with researchers from Caltech and MIT, has developed a new tool that gives ...
A comprehensive Python library for processing French IGN LiDAR HD data into machine learning-ready datasets. Features include GPU acceleration, rich geometric features, RGB/NIR augmentation, and ...
Abstract: Neuro-Symbolic Artificial Intelligence (NeSyAI) is a paradigm that combines neural networks with symbolic reasoning, building upon foundations laid in the 1990s and early 2000s, yet gaining ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results