#yolov8

AI

Achieving 165 FPS with Zero-Host-Copy Inference Pipelines

A new C++/CUDA inference pipeline architecture achieves 165 FPS by eliminating CPU-side data copying and dynamic memory allocation during the hot execution phase.

November 6, 2026, 11:31 AM·Хабр
AI

YOLOv8l-Based AI Model for Dental Diagnostics

Researchers have updated an AI dental diagnostic model using the YOLOv8l architecture, achieving an mAP50 of 0.642 after training on a refined four-class dataset.

Хабр
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