GSI/FAIR AI Workshop

The evolution of neural networks from their early conceptual
roots in the 1940s to their modern-day applications are presented.
Starting with McCulloch and Pitts' model of neurons, we explore key
milestones like Rosenblatt’s perceptron, the multiple rediscovery of backpropagation,
the Hopfield networks and boltzmann machines,
and the advent of deep neural networks. The discussion will
highlight challenges, breakthroughs, and future directions, offering a
comprehensive overview of how neural networks have shaped, and continue to
shape, artificial intelligence.