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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LLMInclusionAI has officially open-sourced Ling-2.6-1T, a trillion-parameter flagship model optimized for real-world agentic workflows. By leveraging a novel hybrid architecture and dynamic compute routing, this release shatters benchmark records and significantly lowers the barrier to enterprise-grade AI deployment.
Machine LearningA malicious repository posing as an official OpenAI tool reached the top trending spot on Hugging Face, tricking thousands into downloading a hidden Rust infostealer. We break down the technical execution of the Open-OSS attack and what it means for the future of open-source machine learning security.
Machine LearningA malicious Hugging Face repository disguised as an OpenAI Privacy Filter infected 244,000 systems with a Rust-based infostealer. This deep dive explores the mechanics of the attack and how to secure your ML supply chain.
LLMHugging Face has introduced an asynchronous GRPO trainer to its TRL library, functionally eliminating GPU idle times during complex reinforcement learning loops. By separating inference rollouts and gradient updates into dedicated GPU pools, this architecture drastically reduces the cost and time required to train advanced reasoning models.
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.
