The Accidental Pioneer: How a Stubborn Scientist Ignited the AI Revolution
The deep learning boom was inadvertently launched by computer scientist Fei-Fei Li, who created the ImageNet dataset, a massive collection of labeled images that proved crucial for training neural networks. Despite skepticism, Li's work, combined with advancements in GPU technology by Nvidia and the persistence of researchers like Geoffrey Hinton, enabled breakthroughs in AI, exemplified by the success of the AlexNet model in 2012. This convergence of big data, neural networks, and GPU computing marked a pivotal moment in AI history.