Autonomous Systems
January 9, 2026
Explore synthetic data vs real data for robotics, including simulation, real-world datasets, and sim-to-real techniques for scalable robot training.
Join us as we explore what is content moderation, how platforms apply it across multimedia, and how AI and human reviewers keep online spaces safe.
Find out how media annotation and content tagging supercharge AI systems’ ability to understand audio and video, creating faster and more intuitive experiences.
Learn how prompt engineering vs. fine-tuning compares, when to use each method, and how a hybrid approach helps build smarter, domain-specific AI models
See how AI data for the robotics industry helps robots learn to adjust their movements, improve performance, and handle everyday tasks more accurately.
Explore how occlusion impacts computer vision, its challenges, and solutions like generative AI, multi-sensor fusion, and self-supervised learning.
Explore how edge-based computer vision helps retailers and manufacturers detect anomalies, monitor safety, and optimize processes instantly.
Learn about pose estimation in computer vision, and understand how machines detect key points, build digital skeletons, and interpret human motion with accuracy.
Explore how computer vision in sports is changing how athletes train, how games are analyzed, and how fans connect with their favorite teams.
