Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

This (half-)month in Python and elsewhere: Python’s “dead batteries” are about to be removed—and soon. Here’s how to live without them. Also, get started with Pillow for image processing, and find out ...

New capabilities enable customers to adapt proven AI models for mission-specific environments, autonomous workflows, ...

I built a local AI setup out of two old GPUs that sell for cheap, and it beats a single new card ...

In this tutorial, we implement an advanced hands-on workflow for NVIDIA cuTile Python, a tile-based GPU programming interface for writing efficient CUDA-style kernels directly in Python. We start by ...

NVIDIA CUDA 13.3 introduces Tile C++ programming, Python updates, and CompileIQ, delivering up to 15% kernel speedups and enhancing GPU development. NVIDIA (NASDAQ: NVDA) has unveiled CUDA 13.3, the ...

Abstract: Python has become increasingly significant in domains such as data science, machine learning, scientific computing, and parallel programming. The libraries CuPy and Numba enable the ...

DLSS vs FSR defines the modern GPU upscaling debate, with Nvidia leveraging AI neural rendering while AMD focuses on spatial-temporal algorithms. In 2026, DLSS 4.5 uses tensor cores on RTX 50-series ...

DaVinci Resolve may stop with “The GPU failed to perform image processing because of an error.” (Error Code 5). This can break playback, stop effects from ...

With the debut of ROCm 7.1.1, RDNA 4 users can now fully harness their GPUs for AI tasks on Windows, a significant step forward from previous Linux-only support. Previously, RDNA 4 users had to rely ...