

Babbage: The science that built the AI revolution—part one
Mar 6, 2024
Daniel Glaser, a neuroscientist at the Institute of Philosophy, discusses the fascinating evolution of artificial intelligence through the lens of neuroscience. He explores how neurally inspired systems simulate human brain functions and the milestones that led to today's sophisticated models like ChatGPT. The conversation delves into brain imaging research, the complexities of intelligence, and the biochemical foundations that contribute to cognitive functions. Glaser also examines the early attempts to mimic human intelligence, highlighting pivotal advancements in AI development.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8
Intro
00:00 • 4min
Evolving Intelligence: From Dumb Models to Advanced AI
04:01 • 2min
Exploring Intelligence Through Brain Imaging
05:54 • 8min
The Evolution of Nerve Signaling
13:49 • 5min
Exploring the Nature of Intelligence
18:27 • 7min
Understanding Neural Networks: The Building Blocks of AI
25:19 • 2min
From Human Intelligence to Artificial Neurons
27:24 • 3min
The Evolution of Neural Networks
30:22 • 13min