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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Deep LearningDiscover how the groundbreaking SimLBR model flips the script on synthetic media detection. By abandoning binary classification, it learns to identify deepfakes simply by mastering the bounded manifold of authentic photography.
Deep LearningAttenFusion-Net integrates ResNet architectures with dual-attention mechanisms to solve the hardest challenges in automated waste sorting. Learn how this framework uses spatial and channel attention to bypass background noise and accurately classify deformed municipal waste.
LLMA groundbreaking new approach inspired by biological neuroscience introduces a dedicated 'sleep' phase for Large Language Models. By allowing AI to offline-process and consolidate daily experiences, models can continuously learn and self-modify without suffering from catastrophic forgetting.
Deep LearningNVIDIA's new 3-billion parameter model bridges the gap between open-vocabulary understanding and exact geometric precision. Learn how LocateAnything-3B brings high-performance spatial reasoning and object localization directly to edge hardware.
LLMStepFun just released a massive 201-billion parameter vision-language model on Hugging Face. We explore the architecture, hardware requirements, and how to run this multimodal giant in your own environment.
Deep LearningA deep dive into VideoMLA and its revolutionary low-rank latent KV cache technique. Learn how a 92.7% reduction in memory usage is making minute-scale autoregressive video generation possible on consumer hardware.
Deep LearningNVIDIA's Cosmos 3 marks a massive milestone as the first open omni-model built for Physical AI and robotics. With Super and Nano variants available on Hugging Face, developers finally have the physics-grounded reasoning and synthetic data tools needed to bring AI into the real world.
Deep LearningNVIDIA SANA-Streaming introduces a groundbreaking system-algorithm co-design to enable real-time, high-resolution video editing on consumer GPUs. By utilizing a Hybrid Diffusion Transformer, it eliminates traditional latency and VRAM bottlenecks.
LLMSupraLabs recently shocked the AI community when their 51.8 million parameter model reached number one on the Hugging Face trending list. Discover how ultra-small language models are reshaping edge AI and learn how to implement this micro-model locally.
