AI Study Series Part 11: Computer Vision

Computer Vision is the field of AI that empowers machines to analyze and interpret visual information from the world — such as images and videos — just like humans do. It fuels applications like facial recognition, self-driving cars, medical imaging, and more.

What You Will Learn

• Image recognition and classification techniques
• Convolutional Neural Networks (CNNs)
• Object detection and segmentation
• Real-time image processing and video analysis

Top Learning Resources

• Fast.ai: Practical Deep Learning for Coders
• Coursera: Computer Vision Specialization
• MIT OCW: Advances in Computer Vision
• Stanford: Visual Recognition Courses
• DeepLearning.ai: Computer Vision

Computer Vision in Action

• Autonomous driving systems (Tesla, Waymo)
• Facial recognition and security systems
• Medical image analysis (tumor detection)
• Image search engines (Google Lens)

Video Lectures & Demonstrations

• TED Talk: Fei-Fei Li on Computer Vision
• Vimeo: Computer Vision Projects
• Odysee: Vision AI Demos

Next Up

In Part 12: Robotics and Perception, we will examine how AI integrates sensors, control systems, and perception to power intelligent machines in the physical world.