Alex Krizhevsky is a Canadian computer scientist known for his significant contributions to the field of artificial intelligence, particularly in deep learning. He gained widespread recognition for developing the AlexNet architecture, which revolutionized image classification tasks and won the ImageNet Large Scale Visual Recognition Challenge in 2012. Krizhevsky's work has had a lasting impact on the development of neural networks and computer vision. His research has inspired many advancements in machine learning, leading to improved performance in various applications, including self-driving cars and facial recognition systems.