About This Book
The Deep Learning Revolution (2018) tells the story of how a small group of researchers transformed artificial intelligence by studying how the human brain actually learns. It explores the shift from rule-based programming to data-driven neural networks, revealing how this biological approach created the AI technologies that now power everything from voice assistants to self-driving cars.
Who Should Read This?
- Science buffs and tech enthusiasts who want to understand the foundational principles behind AI tools
- Educators and teachers grappling with how AI is changing classroom dynamics and seeking perspective on the technology's origins and implications
- Anyone concerned about job automation or seeking to understand what makes human intelligence unique and irreplaceable
About the Author
Terrence Sejnowski holds the Francis Crick Chair at the Salk Institute for Biological Studies and serves as Distinguished Professor at the University of California, San Diego, where he directs the Computational Neurobiology Laboratory. He’s one of only a few individuals elected to all four National Academies: Sciences, Medicine, Engineering, and Inventors News – Salk Institute for Biological Studies. He’s also received prestigious honors including the 2024 Brain Prize, the 2022 Gruber Neuroscience Prize, and the IEEE Frank Rosenblatt Award for his pioneering contributions to neural networks and computational neuroscience.
