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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LLMOpenAI has just launched the GPT-5.5 Frontier Model, shattering records on autonomous agent benchmarks. Explore how its native computer use capabilities and agentic reasoning will fundamentally rewire how developers build AI workflows.
LLMAnthropic recently unveiled Claude Mythos, a general-purpose AI model with unprecedented cybersecurity capabilities. After helping Mozilla patch 271 vulnerabilities in Firefox, Mythos is setting a new standard for securing critical open-source infrastructure.
Deep LearningLLaDA 2.0-Uni is bridging the gap between text and high-fidelity image generation by combining discrete diffusion with a Mixture-of-Experts architecture. Discover how this trending Hugging Face model turns multimodal AI into a truly unified process.
Deep LearningCognizant's AI Lab just patented a breakthrough methodology for dynamically generating and tuning neural network activation functions. Discover how automated activation tuning eliminates trial and error while optimizing models for highly specific tasks.
Deep LearningPhysicists have deployed custom neural networks to decode chaotic particle interactions and discover entirely new laws of nature with over 99% accuracy. This breakthrough marks a definitive shift from using machine learning for data analysis to utilizing AI as an autonomous theoretical physicist.
Deep LearningMIT researchers have introduced Reinforcement Learning with Calibration Rewards to tackle AI hallucinations. By directly rewarding accurate uncertainty estimation, this breakthrough reduces calibration error by up to 90 percent without sacrificing model performance.
LLMReleased on April 22, 2026, Xiaomi's new 1-trillion parameter MoE model reshapes the frontier of artificial intelligence. It natively processes text, audio, image, and video while driving down the cost of autonomous coding to an astonishing one dollar per million tokens.
Machine LearningOpenAI recently launched a 1.5B parameter open-weight model specifically built to detect and mask personally identifiable information. This release allows developers to run enterprise-grade data sanitization entirely locally while leveraging a massive 128k context window.
Deep LearningApple researchers have introduced ParaRNN at ICLR 2026, breaking the sequential bottleneck of traditional RNNs with a 665x training speedup. This breakthrough enables 7-billion parameter classical RNNs to achieve Transformer-level performance with zero KV cache memory footprint.
