Beyond Generative AI: Rediscovering Computer Vision’s Legacy | EP.28
Join Ron Green and Dr. ZZ Si, Co-founder and Distinguished Machine Learning Engineer at KUNGFU.AI as they explore the fascinating journey of computer vision. They discuss the evolution of computer vision, from the early days of handcrafted features to the revolutionary impact of deep learning and convolutional neural networks. Dr. Si shares insights from his groundbreaking work at Google and Apple, and they delve into the significance of AlexNet and ImageNet in transforming AI research.
The conversation also covers the rise of transformers and their role in bridging computer vision and natural language processing, as well as the exciting advancements in diffusion models and flow matching. Discover how these innovations are being applied in robotics, healthcare, and more.
00:00:00 - Introduction and Overview
00:01:40 - Early Computer Vision
00:04:55 - Statistical Modeling Approaches in Computer Vision
00:10:01 - Challenges of 1990s Neural Networks
00:14:36 - Impact of AlexNet and the Deep Learning Revolution
00:18:58 - Reactions to the Rise of Deep Learning
00:25:32 - Rise of Transformers in AI
00:30:29 - Emergence of Diffusion Models and Generative Techniques
00:34:12 - Future Trends in AI: Multimodal and Robotics