Multimodal AI is rapidly becoming the foundation of the next generation of intelligent systems — from self-driving cars and medical diagnostics to robotics, retail automation, and generative AI models. Unlike traditional AI that relies on a single data type, multimodal models learn from images + text + audio + video + sensor streams , allowing them to understand the world more like humans do. This blog explores what multimodal AI is, how it works, its growing applications, a

Summary LiDAR annotation is foundational to autonomous vehicle development. By labeling 3D point cloud data captured from LiDAR sensors, engineers give AI models the spatial awareness they need to understand the world and identifying objects, predicting movement, avoiding collisions, and navigating safely. This comprehensive guide breaks down LiDAR annotation from end to end: 1. How LiDAR works 2. Why annotation is needed 3. How 3D datasets are labeled 4. What challenges tea

Medical AI relies on high quality labeled datasets to detect tumors, measure organs, analyze scans, and support clinical decision systems. This blog explains everything you need to know about DICOM and NIfTI annotation the gold-standard formats for MRI, CT, and other radiological imaging. You’ll learn how annotation works, why it’s essential, the challenges involved, and how accurate labeling directly impacts clinical AI performance. Table of Contents 1 - What Are DICOM & N