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 LearningResearchers at Concordia University have introduced Segment-Any-Crack, a revolutionary AI model for infrastructure inspection. By fine-tuning less than 0.05% of its parameters, the system achieves unprecedented accuracy while drastically reducing compute costs.
LLMOpenBMB's new 1.3B parameter multimodal model runs natively on mobile devices while beating larger models in intelligence density. Learn how its novel mixed visual token compression reduces vision computation by over 50 percent.
LLMGoogle's new TurboQuant breakthrough compresses the LLM KV cache to an unprecedented 3 bits without losing model accuracy. This shrinks massive 42GB memory footprints down to just 7GB, fundamentally altering the hardware economics of long-context inference.
LLMOpenAI's surprise release of GPT-5.5 Instant brings sub-50ms latency, native persistent memory, and a dedicated cyber-defense engine. Explore how this architectural leap shifts the paradigm from stateless text generation to real-time autonomous systems.
Deep LearningDiscover how the Aurora atmospheric foundation model leverages graph neural networks to process over a million hours of climate data. This deep dive explores the architecture and implications of a system that outperforms traditional numerical weather prediction.
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.
