Important Milestones in Artificial Intelligence History

Important events and developments in machine learning field

Photo by Google DeepMind on Unsplash

The period from 2012 to 2024 has been transformative for artificial intelligence (AI), marked by groundbreaking research, technological advancements, and widespread adoption across various industries. Here’s a chronological list of important events and developments that have propelled AI to its current state

2012: The Deep Learning Breakthrough

• AlexNet Wins ImageNet Competition: A deep convolutional neural network (CNN) called AlexNet, developed by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton, dramatically outperformed other models in the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). This victory showcased the power of deep learning and reignited interest in neural networks.
• GPU Acceleration: The use of Graphics Processing Units (GPUs) for training deep neural networks became mainstream, significantly reducing training times and enabling the processing of large datasets.

2013–2014: Advances in Neural Networks

• Word2Vec (2013): Introduced by Tomas Mikolov and colleagues at Google, Word2Vec models captured semantic relationships between words, advancing natural language processing (NLP).