People and Timeline of Modern AI (senthil.learntosolveit.com)

A new timeline detailing the pivotal events and figures in modern AI, based on Cade Metz's audiobook "Genius Makers," is now available for enthusiasts and researchers. The timeline spans from the 1960s—when Frank Rosenblatt created the first hardware neural network, the Perceptron—to significant milestones such as backpropagation in the 1980s, the rise of deep learning in the 2000s, and the explosion of AI research and applications in the 2010s. Each entry is annotated with links to learn more about key players like Geoffrey Hinton, Yann LeCun, and Yoshua Bengio, allowing readers to contextualize the contributions that have shaped the field. This comprehensive resource is significant for the AI/ML community as it emphasizes the collaborative nature of progress in the field, underscoring that current advancements build on the work of past innovators. The timeline not only serves to inform newcomers but also aids seasoned professionals in tracing the historical context of technology and methodologies that continue to evolve today. The annotations foster a deeper understanding of the relationships between various contributors, paving the way for future collaboration and innovation in AI research.