TED: How we're teaching computers to understand pictures | Fei-Fei Li

The transcript discusses the challenges and advancements in teaching machines to see, a field known as computer vision. It highlights the complexity of visual perception, the development of the ImageNet project, and the use of convolutional neural networks. The speaker emphasizes the potential future applications of machine vision, such as in healthcare and disaster response, and the importance of integrating big data with machine learning algorithms to improve visual recognition capabilities.

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