Face and basic landmarks detection using mediapipe models with efficiency and very good accuracy and draw on image or save detected faces using opencv in python.
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LLMDiscover how to leverage the newly released 9-billion parameter Qwopus3.5-9B-Coder model for local agentic workflows. We build an end-to-end autonomous coding assistant capable of complex tool calling entirely on consumer hardware.
Machine LearningWhile AI models like GraphCast forecast global weather 10,000 times faster than traditional methods, a recent study reveals their critical vulnerability. Discover why physics-based models remain the undisputed champions of predicting unprecedented, record-shattering climate events.
Deep LearningTsinghua University researchers recently unveiled Causal Forcing++, a novel diffusion distillation technique. This breakthrough enables high-fidelity autoregressive video generation in real time by drastically reducing inference steps without sacrificing temporal consistency.
Deep LearningMeta has released LagerNVS on Hugging Face, introducing a novel encoder-decoder architecture that bypasses explicit 3D reconstruction. By leveraging latent geometry, it achieves real-time, state-of-the-art novel view synthesis from single images and pairs seamlessly with diffusion models for generative extrapolation.
Deep LearningA groundbreaking PNAS paper demonstrates an optical processing unit training massive neural networks at 1,500 TeraOPS using under 30 watts of power. By combining photonics with direct feedback alignment, this hybrid architecture shatters the energy limitations of traditional GPU backpropagation.
PythonDiscover how the code-first architecture of Hugging Face smolagents outshines traditional JSON tool calling. Learn to build, securely sandbox, and orchestrate lightweight AI workflows.
Deep LearningThe Allen Institute for AI and UC Berkeley have introduced EMO, a modular Mixture-of-Experts architecture that drastically cuts compute costs by activating just 12.5 percent of its network. This deep dive explores how extreme sparsity and domain-specific routing are reshaping the future of large language models.
Deep LearningNVIDIA has released SANA-WM, an open-source 2.6-billion-parameter world model capable of generating minute-scale videos and simulated environments. This milestone democratizes physical world simulation for generative AI and autonomous agent training.
Deep LearningMicrosoft briefly uploaded and deleted two unannounced image generation models, Lens and Lens-Turbo, on Hugging Face. The sudden appearance has the AI community buzzing about the company's next steps in open-weight computer vision.
