Computer Vision

Building an Agentic Browser with LangGraph: A Visual Automation and Summarization Pipeline

Developing intelligent agents, using LLMs like GPT-4o, Gemini, etc., that can perform tasks requiring multiple steps, adapt to changing information, and make decisions is a core challenge in AI development.

Agentic AI, Computer Vision, Generative AI, Generative Models, LLMs, VLMs

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 SigLIP, this

Computer Vision, Generative AI, LLMs, NLP, VLMs

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’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 promising contender

Computer Vision, Multimodal Models, Vision Language Models

Introducing BLIP3-o: The Unified Multimodal Model

The landscape of Artificial Intelligence is rapidly evolving towards models that can seamlessly understand and generate information across multiple modalities, like text and images. Salesforce AI Research has introduced BLIP3-o,

AI Art Generation, Computer Vision, Multimodal Models

Google I/O 2025: All you need to know

Expert insights on Google I/O 2025: Gemini AI breakthroughs, Android XR evolution, new developer tools, and Google's future tech roadmap.

Computer Vision, Generative AI