Fei-Fei Li — How We Teach Computers to Understand Pictures

Fei-Fei Li 2015 TED Talk on computer vision is the origin story of modern deep learning — she led the ImageNet project that catalyzed the 2012 deep learning revolution. The talk explains with unusual clarity how convolutional neural networks work, why the ImageNet dataset was necessary, and what children visual learning reveals about what computer vision must eventually achieve. The historical importance: this is not just a good explanation, it is the explanation given by the scientist who created the conditions for the breakthrough. Li is now Director of the Stanford Human-Centered AI Institute and has shaped AI policy at every level. The talk has aged well — the principles she explains about how neural networks learn visual features are still the foundation of modern computer vision. For understanding how AI went from academic curiosity to transformative technology, this is the primary source.