Bridging Perception and Action in Robotics 
Multimodal Large Language Models (MLLMs) hold promise for enabling machines, such as robotic arms and legged robots, to perceive their surroundings, interpret scenarios, and take meaningful actions. The integration of such intelligence into physical systems is advancing the field of robotics, pushing it toward autonomous machines that don’t just…
		Image by Author | ChatGPT  
 
Of all the buzzwords to emerge from the recent explosion in artificial intelligence, "vibe coding" might be the most evocative, and the most polarizing. Coined by AI luminary Andrej Karpathy, the term perfectly captures the feeling of a new programming paradigm: one where developers can simply express an idea,…
		Introduction to Video Diffusion Models and Computational Challenges 
Diffusion models have made impressive progress in generating high-quality, coherent videos, building on their success in image synthesis. However, handling the extra temporal dimension in videos significantly increases computational demands, especially since self-attention scales poorly with sequence length. This makes it difficult to train or run these…
		Research 
      
      
    
      
        Published
        12 June 2025
      
      
 …
		Meta AI has introduced V-JEPA 2, a scalable open-source world model designed to learn from video at internet scale and enable robust visual understanding, future state prediction, and zero-shot planning. Building upon the joint-embedding predictive architecture (JEPA), V-JEPA 2 demonstrates how self-supervised learning from passive internet video, combined with minimal robot interaction data, can yield…
		Image credit: The Velvet Sundown (Band) - Official X account  
 
Introduction 
  In recent days, the music industry has witnessed an avalanche of headlines surrounding a music band called The Velvet Sundown. The reason? The band may possibly be not be a real band at all, and its music may be AI-generated. In fact,…
		Beijing Academy of Artificial Intelligence (BAAI) introduces OmniGen2, a next-generation, open-source multimodal generative model. Expanding on its predecessor OmniGen, the new architecture unifies text-to-image generation, image editing, and subject-driven generation within a single transformer framework. It innovates by decoupling the modeling of text and image generation, incorporating a reflective training mechanism, and implementing a purpose-built…
		We’re introducing an efficient, on-device robotics model with general-purpose dexterity and fast task adaptation.
 
 Source link
		Challenges in Dexterous Hand Manipulation Data Collection 
Creating large-scale data for dexterous hand manipulation remains a major challenge in robotics. Although hands offer greater flexibility and richer manipulation potential than simpler tools, such as grippers, their complexity makes them difficult to control effectively. Many in the field have questioned whether dexterous hands are worth the…
		Image by Author | ChatGPT 
  
Introduction 
  Creating interactive web-based data dashboards in Python is easier than ever when you combine the strengths of Streamlit, Pandas, and Plotly. These three libraries work seamlessly together to transform static datasets into responsive, visually engaging applications — all without needing a background in web development. 
However, there's…