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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LLMTokenAI has released Horus-1.0-4B, a highly efficient multilingual language model optimized for edge deployments. With native chain-of-thought reasoning and robust English-Arabic support, this release redefines the capabilities of small language models.
LLMThe Qwen team just released official FP8 quantized versions of their massive 80B parameter reasoning models on Hugging Face. By slashing VRAM requirements from 163GB to 82GB, state-of-the-art open-weight AI is finally accessible for local developer deployments.
Machine LearningThe CNCF Dragonfly project has officially released native peer-to-peer download support for Hugging Face and ModelScope. Discover how mesh networking eliminates the model distribution bottleneck and reduces origin network traffic by over 99 percent.
PythonNotebookLM is Google's incredibly powerful document-grounded AI, but it currently lacks an official API. Discover how the trending open-source library notebooklm-py allows developers to bypass the UI and integrate NotebookLM directly into automated workflows and custom agents.
Deep LearningResearchers at Tufts University have unveiled a hybrid AI architecture merging neural networks with symbolic logic. This neuro-symbolic approach slashes training energy by 100x while bringing determinism, safety, and explainability back to robotics.
LLMAllenAI has released MolmoWeb, an open-weight web agent powered by the Molmo 2 architecture. This 8B parameter model is setting new state-of-the-art benchmarks for autonomous browser interaction, proving that open-source vision models can beat proprietary giants.
Deep LearningNetflix has released VOID under an Apache 2.0 license to solve the toughest challenge in video editing. Discover how this physics-aware diffusion model seamlessly removes objects while recalculating gravity and fluid dynamics.
ShapExplore the mathematical foundations of SHAP to understand how cooperative game theory unlocks deep insights into complex machine learning models.
LLMPrismML has cracked the code on extreme quantization with Bonsai 8B. This 8.2 billion parameter model runs in just 1.15 GB of memory while matching 16-bit performance.
