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 LearningShanghai Jiao Tong University's new framework introduces cross-model adversarial collaboration to autonomous AI. By forcing agents to peer-review and stress-test each other, it eliminates research drift and orchestrates complex deep learning tasks reliably.
LLMOpenAI has officially replaced GPT-5.3 Instant with a dramatically faster and more factually grounded model. This release fundamentally shifts how developers approach latency-sensitive applications in medicine, finance, and law.
Deep LearningA groundbreaking May 2026 analysis reveals that Vision Transformers are rapidly dethroning CNNs in clinical oncology. We explore how their lightweight architectures and native multimodal fusion capabilities are solving the field's hardest diagnostic bottlenecks.
Deep LearningA breakthrough theoretical framework by Stanford researchers finally explains why overparameterized neural networks generalize rather than memorize. Their findings introduce a practical SNR preconditioner that aggressively accelerates training and eliminates validation-based early stopping.
Machine LearningDiscover how the newly released OncoAgent framework uses LangGraph and Corrective RAG to build secure, multi-agent AI for clinical oncology. A deep dive into privacy-preserving architecture and human-in-the-loop safeguards.
Deep LearningHugging Face and Allen AI have introduced EMO to solve the black-box routing problem in Mixture of Experts. By enforcing true domain specialization during pre-training, EMO enables highly interpretable, scalable, and efficient large language models.
Deep LearningLG AI Research has released a massive 33-billion parameter open-weight vision-language model that redefines enterprise document understanding. Explore the architecture choices and benchmark results making EXAONE 4.5 a formidable competitor to proprietary counterparts.
Machine LearningHugging Face just dropped a game-changing agentic toolkit for the open-source Reachy Mini desktop robot. Discover how developers can now generate and deploy complex robotics code autonomously using only plain-English prompts.
LLMLlama 4 Scout introduces a groundbreaking 10-million token context window, redefining how developers interact with large language models. By allowing the ingestion of entire codebases and thousands of documents simultaneously, it marks the transition from fragmented RAG pipelines to holistic data comprehension.
