Showing results for "Neuroscience" in Computers & Technology

Bridges the gap between AI and neuroscience by telling the story of how the brain came to be. 'I found this book amazing' Daniel Kahneman, Winner of the Nobel Prize in Economics and bestselling author of Thinking Fast & Slow The entirety of the human brain’s 4-billion-year story can be...

A "fascinating book" that will revolutionize our understanding of the brain and the future of AI (Financial Times) For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered...

As heard on BBC Radio 4 Start the Week A New Scientist Best Book of the Year A Next Big Ideas Club Book of the Year ‘Excellent’ – Geoffrey Hinton, the ‘godfather of AI’ and Nobel laureate in Physics ‘An indispensable guide to both ourselves and the coming age of AI’ – Mustafa...

Penguin presents the unabridged, downloadable audiobook edition of The Future of the Mind by Michio Kaku, The international bestselling author of Physics of the Impossible. Read by the actor Feodor Chin. Recording memories, mind reading, videotaping our dreams, mind control, avatars, and...

Explore the benefits of a mindful approach to life Cutting-edge studies in neuroscience have in recent years proved what many doctors, therapists and other health professionals had long suspected: simple, repetitive tasks, performed with focus and attention - mindfulness, in other words - can...

“Enough with speculation about our digital future. Infinite Reality is the straight dope on what is and isn’t happening to us right now, from two of the only scientists working on the boundaries between real life and its virtual extensions.” —Douglas Rushkoff, author of Program or Be...

How does a neural network become a brain? While neurobiologists investigate how nature accomplishes this feat, computer scientists interested in AI strive to achieve this through technology. The Self-Assembling Brain tells the stories of both fields, exploring the historical and modern approaches taken by the scientists pursuing answers to the quandary: What information is necessary to make an intelligent neural network? As Peter Robin Hiesinger argues, "the information problem" underlies both fields.