What is Micromobility? What is Micromobility annotation, and why care? Essentials, Trends, Challenges, and Future.
Exploring the impact of annotation quality on bounding boxes and segmentation masks.
Best 10 open-source LiDAR datasets for self-driving vehicles: essentials, features, and uses.
Physical AI refers to AI-powered systems that operate in the real, physical world. These systems integrate sensors like cameras and LiDAR, with machine learning so they can perceive their surroundings and take actions in real time.
Applying SAM 3 to video annotation and object tracking looks powerful on paper, but
Top 10+ Real-World Applications of OCR, NLP, and Multi-modal AI Across Industries. With examples and a sample dataset.
Annotation QA Agents: Architecture, Self-Correction Mechanisms, and Real-World Use Cases.
![Multimodal AI in Robotics [+ Examples]](/content/images/size/w2000/2026/01/Robotics--12-.png)
Multimodal AI in robotics is an AI approach where robots fuse multiple sensor inputs to perceive and act. By combining visual data, language, and other signals, robots make real-time, context-aware decisions.
A deep dive into Optical Character Recognition (OCR): its essentials, workings, types, approaches, and challenges.
