I’m interested in learning about the history and evolution of machine learning. Could someone provide a timeline highlighting key milestones, breakthroughs, and developments in the field? Any notable events or innovations that shaped the course of machine learning would be insightful.
Machine learning began in the 1940s with neural network modeling by Walter Pitts and Warren McCulloch. In the 1950s, Alan Turing introduced the Turing Test, Arthur Samuel created the first self-learning game program, and John McCarthy coined “artificial intelligence.” The 1960s saw the development of Eliza, the first chatbot, and Shakey, the first intelligent robot. During the 1970s and 1980s, machine learning advanced with pattern recognition, neural networks, and self-learning programs. In the 1990s and 2000s, IBM Watson won Jeopardy!, and AI tools like personal assistants and autonomous vehicles emerged. Today, machine learning impacts many industries, including finance, e-commerce, and healthcare.
A lecture was held to introduce ml. about the ai winters. was an amazing 40-minute video. I can’t seem to recall the video’s creator or title.
Captain is needed!
The groundwork for machine learning was laid in 1943 with a scientific paper by Pitts and McCulloch introducing a mathematical model for neural networks. This was followed by Donald Hebb’s book “The Organization of Behavior” in 1949, which further explored the concept.
Cue now, continuing working on deep learning with a hint of robotics. While the deep learning curve has not flattened, I suspect robotics is performing much worse than in 2014. In 2010, more than half of the group worked in large research laboratories. Professor included.
Basic pattern recognition was made possible by the creation of the closest neighbor algorithm, which also served as a foundation for further classification methods.