Generative AI

SigLIP 2: DeepMind’s Multilingual Vision-Language Model

SigLIP 2 represents a significant step forward in the development of multilingual vision language encoders bringing enhanced semantic understanding localization and dense feature extraction capabilities Built on the foundations of

Computer Vision, Generative AI, LLMs, NLP, VLMs

MedGemma: Google’s Medico VLM for Clinical QA, Imaging, and More

Imagine an AI co pilot for every clinician capable of understanding both complex medical images and dense clinical text That s the promise of MedGemma Google s new Vision Language

Generative AI, LLMs, Vision Language Models, VLMs

Optimizing VJEPA-2: Tackling Latency & Context in Real-Time Video Classification Scripts

The domain of video understanding is rapidly evolving with models capable of interpreting complex actions and interactions within video streams Meta AI 8217 s VJEPA 2 Video Joint Embedding Predictive

Generative AI, video classification, Vision Language Models

V-JEPA 2: Meta’s Breakthrough in AI for the Physical World

The ultimate goal for many in artificial intelligence is to build agents that can perceive reason and act in our complex physical world Meta AI has made a significant stride

Computer Vision, Generative AI, Generative Models, Hugging Face Transformers, Multimodal Models, Robotics, Vision Language Models

VLM for Video Understanding with Spatial and Temporal Context: NVIDIA Cosmos Reason1

NVIDIA 8217 s Cosmos Reason1 is a family of Vision Language Models trained to understand the physical world and make decisions for embodied reasoning What makes Cosmos Reason1 as a

Computer Vision, Multimodal Models, Vision Language Models

GR00T N1.5 Explained: NVIDIA’s VLA Model for Humanoids

Dive into NVIDIA s GR00T N1 5 a groundbreaking open foundation model poised to revolutionize humanoid robotics Discover how this advanced Vision Language Action VLA model with its smarter architecture

Robotics, Vision Language Models, Vision Transformer