Trustworthy AI is now within reach
The artificial intelligence (AI) boom began in earnest in 2012 when Alex Krizhevsky, in collaboration with Ilya Sutskever and Geoffrey Hinton (who was Krizhevsky’s Ph.D. advisor), created AlexNet, which then won the ImageNet Large Scale Visual Recognition Challenge. The goal of that annual competition, which had begun in 1996, was to classify the 1.3 million high-resolution photographs in the ImageNet training set into 1,000 different classes. In other words, to correctly identify a dog and a cat.
AlexNet consisted of a deep learning neural network and was the first entrant to break 75% accuracy in the competition. Perhaps more impressively, it halved the existing error rate on ImageNet visual recognition to 15.3%. It also established, arguably for the first time, that deep learning had substantive real-world capabilities. Among other applications, this paved the way for the visual recognition systems used across industries from agriculture to manufacturing.