The History of AI Models - Part 1: Foundations & Early Neural Networks (1950s - 1990s)

When we say artificial intelligence (AI) today, massive language models like ChatGPT, Gemini, or Llama immediately come to mind. However, reaching this point is the result of a turbulent scientific journey that spanned decades.
In the first part of our AI history series prepared by Canary Digital, we explore the era from the 1950s where it all began, to the late 1990s:

• 1950s: Alan Turing's question "Can machines think?" and the famous Turing Test.
• 1960s: The first Perceptron experiment, considered the ancestor of modern neural networks, and its limitations.
• The First "AI Winter": The stagnation caused by unmet expectations and funding cuts.
• 1980s and 1990s: The rise of Expert Systems, and the spectacular return of neural networks with the Backpropagation algorithm. To read the foundations and in-depth analysis of this historical journey, you can click the link below: 🔗 Read the Original Article: The History of AI Models - Part 1: Foundations