Скачать или смотреть Algorithms vs. Scale: What's Really Driving the Deep Learning Revolution?

Embark on a fascinating journey through the history and evolution of machine learning and neural networks! This episode explores how early ideas from the 1960s — like Frank Rosenblatt’s perceptrons and experiments on the visual cortex of cats — laid the foundation for today’s deep learning revolution.

Discover the key milestones that transformed artificial intelligence, from the DARPA Grand Challenge with Stanford’s self-driving car Stanley to the game-changing advances of Google Translate powered by neural networks. We’ll dive into how AI conquered strategy games — from TD-Gammon mastering backgammon to AlphaGo defeating world champions in Go — and explore its applications across speech recognition, medicine, finance, and robotics.

The podcast also highlights AI pioneers such as Marvin Minsky and Geoffrey Hinton and examines the critical role of data scaling and computational power in advancing neural network performance.

Finally, we reflect on the deeper philosophical questions behind AI: What is intelligence? Can machines ever truly emulate consciousness? Join us to uncover how the past of AI continues to shape its future!