The History of AI Models - Part 2: The Deep Learning Revolution (2000s - 2016)

Although AI researchers made significant algorithmic progress in the late 1990s, they faced a major obstacle: insufficient processing power and a lack of data.

In the second part of our series, we cover the Deep Learning Revolution that began in the 2000s and brought AI into every aspect of our lives:

• The Rise of GPUs: The data explosion that came with the internet, and how graphics cards (GPUs) originally developed for gamers became the engine of the AI world.
• The 2012 ImageNet Revolution: The rewriting of Computer Vision with AlexNet, dethroning traditional methods.
• First Steps in Natural Language Processing (NLP): Computers beginning to establish semantic relationships and converting words into mathematical vectors with the Word2Vec algorithm.

Discover the story of this "Golden Age" initiated by the combination of hardware and data in our full article:

🔗 Read the Original Article: The History of AI Models - Part 2: Deep Learning