In 2009, inspired by observing how humans learn, Dr. Li and her lab at Stanford released ImageNet, a large Internet-scale data set containing 12 million images. Many AI researchers at the time dismissed it as being too large and complex, but the AlexNet model in 2012 created from ImageNet proved them wrong. Today, large models have given way to ChatGPT and a renaissance in healthcare, robotics, education, and every aspect of humanity.

Everyone seems to be rushing into AI and asking questions later. We’ll give you the info you need to get this right: https://sforce.co/4486KzY

Chapters:
0:00 Introduction
1:15 The history of ImageNet
5:24 Neural network models before 2012
7:03 Why AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC)
7:42 The state of multimodal models
9:16 Key use cases for different models
11:32 Tell us about your book “The Worlds I See”
14:55 Fei Fei Li’s research on Healthcare and AI
17:46 How computer vision is advancing robotics
19:27 AI copilots in the workforce
20:55 Government Oversight on Artificial Intelligence
22:04 The mission of the Human-Centered AI Institute
24:10 How should we educate our kids about an AI-driven world?
27:15 Three takeaways from Clara Shih

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