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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LLMDiscover how inclusionAI's latest 104B open-source model leverages a highly sparse architecture to activate just 7.4B parameters. This breakthrough drastically reduces the compute costs and token consumption of complex agentic workflows.
Deep LearningDive deep into the LD-EnSF framework presented at ICLR 2026 that is completely rewriting the rules of system dynamic forecasting. By projecting exhaustive simulations into a highly compressed latent space, this approach delivers massive speedups without sacrificing accuracy on noisy real-world data.
Deep LearningMeta FAIR has released NeuralSet, an open-source framework that decouples neuroimaging data structures from signal extraction. By providing a unified, PyTorch-ready pipeline, it solves the massive data bottlenecks preventing the development of Foundation Models for the brain.
Deep LearningTuna-2 completely eliminates the need for pretrained vision encoders by mapping raw pixel embeddings directly into the language model. This unified approach achieves new state-of-the-art results in multimodal understanding and generation.
Deep LearningChandra-OCR-2 has shattered the cost barrier for massive document extraction, converting 27,000 complex arXiv PDFs to Markdown for under $850. Explore how this open 5B parameter model eliminates the need for expensive proprietary APIs and supercharges enterprise RAG pipelines.
LLMMistral AI has unified instruction following, configurable reasoning, and complex coding agents into a single 128-billion parameter dense model. Explore the architectural shifts, API capabilities, and what this means for the future of multimodal development.
Deep LearningLLaDA 2.0 Uni bridges the gap between autoregressive LLMs and continuous image diffusion. Dive into how its discrete diffusion and Mixture-of-Experts architecture create a unified approach to multimodal AI.
Deep LearningNVIDIA just released Nemotron 3 Nano Omni, a hybrid mixture-of-experts model unifying vision, audio, and language without separate perception encoders. Discover how this lightweight architecture delivers up to 9x higher throughput, fundamentally transforming edge AI and local agent deployments.
Deep LearningTuna-2 eliminates the need for traditional vision encoders by processing images directly from pixel embeddings. Discover how this unified multimodal architecture achieves state-of-the-art performance on Hugging Face and what it means for the future of AI.
