In the world of Artificial Intelligence (AI), Alex Krizhevsky's name stands out for a groundbreaking contribution: the development of the AlexNet model. This model, introduced in 2012, marked a turning point in the field of computer vision, a branch of AI that deals with how computers can gain high-level understanding from digital images or videos.

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Before AlexNet, AI struggled with image recognition tasks. However, Krizhevsky's model, using a deep neural network, significantly improved the accuracy of these tasks. This improvement was showcased in the ImageNet Large Scale Visual Recognition Challenge, a prestigious AI competition, where AlexNet reduced the error rate by a remarkable margin compared to previous models.

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AlexNet's success popularized the use of deep learning, a subset of AI that imitates the workings of the human brain in processing data. Krizhevsky's work not only improved image recognition but also opened doors for advancements in other AI applications, such as speech recognition and language processing.

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The simplicity of Krizhevsky's approach, combined with its effectiveness, makes it a cornerstone in AI history. His contribution is a testament to the power of innovative thinking in transforming technology.