Data sciencefromHackernoon3 months agoHow Panopticus Uses AI to Detect Objects in 3D | HackerNoonPanopticus improves omnidirectional 3D object detection using multi-branch models and optimized GPU-based execution.
Artificial intelligencefromInfoQ2 weeks agoGoogle Enhances LiteRT for Faster On-Device InferenceLiteRT simplifies on-device ML inference with enhanced GPU and NPU support for faster performance and lower power consumption.
fromHackernoon3 weeks agoData scienceSupercharge ML: Your Guide to GPU-Accelerated cuML and XGBoost | HackerNoon
Data sciencefromHackernoon3 months agoHow Panopticus Uses AI to Detect Objects in 3D | HackerNoonPanopticus improves omnidirectional 3D object detection using multi-branch models and optimized GPU-based execution.
Artificial intelligencefromInfoQ2 weeks agoGoogle Enhances LiteRT for Faster On-Device InferenceLiteRT simplifies on-device ML inference with enhanced GPU and NPU support for faster performance and lower power consumption.
fromHackernoon3 weeks agoData scienceSupercharge ML: Your Guide to GPU-Accelerated cuML and XGBoost | HackerNoon
Artificial intelligencefromtowardsdatascience.com3 months agoBreaking the Bottleneck: GPU-Optimised Video Processing for Deep LearningDeep learning applications can improve performance by minimizing CPU-GPU transfer bottlenecks through GPU-accelerated video decoding.
fromHackernoon3 weeks agoPythonAchieve 100x Speedups in Graph Analytics Using Nx-cugraph | HackerNoon
Artificial intelligencefromtowardsdatascience.com3 months agoBreaking the Bottleneck: GPU-Optimised Video Processing for Deep LearningDeep learning applications can improve performance by minimizing CPU-GPU transfer bottlenecks through GPU-accelerated video decoding.
fromHackernoon3 weeks agoPythonAchieve 100x Speedups in Graph Analytics Using Nx-cugraph | HackerNoon
Node JSfromGitHub3 months agoGitHub - gezilinll/pica-gpu: a high-quality, GPU-accelerated image resizerPica-gpu utilizes GPU acceleration for efficient image resizing, significantly improving performance and reducing CPU usage.The library features multiple filtering algorithms, ensuring high-quality image processing.