Deep Learning
Learn a production model training playbook from PINTO's face alignment project: reframe the task, engineer data, enforce QA, distill, and deploy....
MiniCPM-o 4.5 is a 9B open-source model that can see, hear, and speak simultaneously. We test its full-duplex Omni-Flow streaming on real-world videos....
OpenCV 5 in C++ on the CPU: run object detection, team split, pose estimation and instance segmentation on football footage, fully reproducible....
A look inside the multi-agent design that keeps an AI tutor grounded in its textbook and code-checks every answer before a student ever sees it....
Master Qwen3-VL Embedding and Reranker for multimodal retrieval: text, image, video, mixed-modal queries, and a two-stage pipeline that boosts precision....
Learn YOLOE for real-time open-vocabulary object detection and instance segmentation in Python with Ultralytics — text, visual, and prompt-free modes....
Vision Banana turns Nano Banana Pro into a powerful vision model for segmentation, depth estimation, surface normals, image generation, and editing....
Learn how to use RF-DETR-Seg with Python for image and video inference, understand the architecture behind it, and evaluate its performance on COCO benchmarks....
SANA-Sprint: Get high-quality (1024, 1024) AI images in a single step! Learn about this ultra-fast diffusion model transforming image generation & real-time AI....
Ever watched an AI-generated video and wondered how it was made? Or perhaps dreamed of creating your own dynamic scenes, only to be overwhelmed by the complexity or the need...
In Deep Learning, Batch Normalization (BatchNorm) and Dropout, as Regularizers, are two powerful techniques used to optimize model performance, prevent overfitting, and speed up convergence. While both have their individual...
As AI systems become more specialized, getting them to work together without endless glue code is the next big challenge. That’s where Google’s A2A Protocol (Agent-to-Agent) steps in—a standardized messaging...
