AI Study Series Part 8: AI and Computer Vision

Computer vision allows AI to interpret and analyze the visual world. It powers everything from facial recognition and self-driving cars to medical imaging and AR filters.

Computer Vision in Action

• Face detection and recognition in cameras and phones
• Autonomous vehicles using image recognition and object detection
• Medical diagnostics through X-ray/MRI image analysis
• Augmented reality (AR) and mixed reality technologies
• AI art and image generation tools like Runway ML

Top Courses & Resources

• Fast.ai Computer Vision Track: Hands-on, practical projects using PyTorch.
• Harvard CS50 AI: Covers computer vision and image classification basics.
• DeepLearning.AI: CV specialization taught by industry leaders.
• Coursera: Introduction to Computer Vision

Interactive Learning Platforms

• Runway ML: Experiment with AI-powered video, image, and motion tools.
• Hugging Face Spaces: Try out open-source vision models like YOLO, SAM, and image segmenters.

Watch & Explore

• TED Talk: AI That Can See and Feel
• Vimeo: Computer Vision Demos
• Odysee: Browse computer vision tutorials

Next Up

In Part 9: AI in Robotics, we explore how AI controls physical machines to move, adapt, and interact with the world around them.