Jeff Hawkins

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A Thousand Brains: A New Theory of Intelligence

by Jeff Hawkins  · 15 Nov 2021  · 253pp  · 84,238 words

owned by the publisher. Library of Congress Cataloging-in-Publication Data Names: Hawkins, Jeff, 1957– author. Title: A thousand brains : a new theory of intelligence / Jeff Hawkins ; with a foreword by Richard Dawkins. Description: First edition. | New York : Basic Books, 2021. | Includes bibliographical references and index. Identifiers: LCCN 2020038829 | ISBN 9781541675810 (hardcover

, and I expect it’ll show. Charles Darwin was unusual among scientists in having the means to work outside universities and without government research grants. Jeff Hawkins might not relish being called the Silicon Valley equivalent of a gentleman scientist but—well, you get the parallel. Darwin’s powerful idea was too

expressed at book length. Sure enough, it was his great book that shook Victorian foundations, a year later. Book-length treatment, too, is needed for Jeff Hawkins’s Thousand Brains Theory. And for his notion of reference frames—“The very act of thinking is a form of movement”—bull’s-eye! These

is no different from one from the ear or the big toe. It’s where they end up in the brain that sorts them out. Jeff Hawkins is not the first scientist or philosopher to suggest that the reality we perceive is a constructed reality, a model, updated and informed by bulletins

the prison wall of the skull. And this is relevant to the major preoccupation of the middle section of the book, the intelligence of machines. Jeff Hawkins has great respect, as do I, for those smart people, friends of his and mine, who fear the approach of superintelligent machines to supersede us

the world?” I began by quoting T. H. Huxley’s endearingly humble remark on closing Darwin’s Origin. I’ll end with just one of Jeff Hawkins’s many fascinating ideas—he wraps it up in a mere couple of pages—which had me echoing Huxley. Feeling the need for a cosmic

series of prime numbers, the message could be made unmistakable: “Intelligent Life Woz ’Ere.” What I find rather pleasing—and I offer the vignette to Jeff Hawkins to thank him for the pleasure his brilliant book has given me—is that a cosmic message coded in the form of a pattern of

six layers in the neocortex. The paper includes simulations, capacity calculations, and a mathematical description of our algorithm. Lewis, Marcus, Scott Purdy, Subutai Ahmad, and Jeff Hawkins. “Locations in the Neocortex: A Theory of Sensorimotor Object Recognition Using Cortical Grid Cells.” Frontiers in Neural Circuits 13 (April 2019): 22. Acknowledgments Though my

Your Next Great Read Get sneak peeks, book recommendations, and news about your favorite authors. Tap here to learn more. © Tri Nguyen / Tri Nguyen Photography Jeff Hawkins is the cofounder of Numenta, a neuroscience research company, founder of the Redwood Neuroscience Institute, and one of the founders of the field of handheld

On Intelligence

by Jeff Hawkins and Sandra Blakeslee  · 1 Jan 2004  · 246pp  · 81,625 words

* * * On Intelligence Jeff Hawkins with Sandra Blakeslee Contents Prologue 1. Artificial Intelligence 2. Neural Networks 3. The Human Brain 4. Memory 5. A New Framework of Intelligence 6. How

start with one person— me— and go from there. I am confident we can figure this out. It will be a big business one day. — Jeff Hawkins Moore put me in touch with Intel's chief scientist, Ted Hoff. I flew to California to meet him and lay out my proposal for

want to thank my wife, Janet. Being married to me can't be all that easy. I love her more than brains. About the Authors JEFF HAWKINS is one of the most successful and highly regarded computer architects and entrepreneurs in Silicon Valley. Currently the chief technology officer at palmOne, he founded

Adaptive Markets: Financial Evolution at the Speed of Thought

by Andrew W. Lo  · 3 Apr 2017  · 733pp  · 179,391 words

—a testament to the extraordinary power of human intelligence. This notion of intelligence as successful narrative prediction is very close to the definition proposed by Jeff Hawkins, the Palm Pilot inventor turned neuroscientist. In his book, On Intelligence, Hawkins argues that intelligence consists of two features: memory and prediction. Most of the

number of narratives—although only a vanishingly few of them will be useful. This type of calculation has long been made by computer scientists like Jeff Hawkins, especially those who study artificial intelligence. Neuroscience has fascinated computer science from the beginning of the field—the first mathematical model of the neuron was

invented. How our prefrontal cortex allows us to perform these mental actions is still a mystery. It might simply be a question of scale. In Jeff Hawkins’s view, intelligence is a direct result of the expanded human neocortex increasing the memory and predictive abilities of early humans. According to Hawkins, “We

thought, to imagine counterfactual situations, to come up with new heuristics individually and collaboratively, and to predict the consequences, is uniquely human. This is precisely Jeff Hawkins’s memory/prediction model of chapter 4. When Simon first proposed satisficing six decades ago, his colleagues thought it was silly and naïve. With the

How to Create a Mind: The Secret of Human Thought Revealed

by Ray Kurzweil  · 13 Nov 2012  · 372pp  · 101,174 words

in hierarchies. I discuss below the intellectual roots of this idea, including my own work with hierarchical pattern recognition in the 1980s and 1990s and Jeff Hawkins (born in 1957) and Dileep George’s (born in 1977) model of the neocortex in the early 2000s. Each pattern (which is recognized by one

” signals indicating that a lower-level pattern was expected. I discuss this research in more detail in chapter 7. In 2003 and 2004, PalmPilot inventor Jeff Hawkins and Dileep George developed a hierarchical cortical model called hierarchical temporal memory. With science writer Sandra Blakeslee, Hawkins described this model eloquently in their book

. However, even 25 million bytes of design information is a level of complexity we can handle. Hierarchical Memory Systems As I discussed in chapter 3, Jeff Hawkins and Dileep George in 2003 and 2004 developed a model of the neocortex incorporating hierarchical lists that was described in Hawkins and Blakeslee’s 2004

The Myth of Artificial Intelligence: Why Computers Can't Think the Way We Do

by Erik J. Larson  · 5 Apr 2021

turn next. Chapter 17 NEOCORTICAL THEORIES OF HUMAN INTELLIGENCE A popular theory of intelligence has been put forth by computer scientist, entrepreneur, and neuroscience advocate Jeff Hawkins. Famous for developing the Palm Pilot and as an all-around luminary in Silicon Valley, Hawkins dipped his toe into the neuroscience (and artificial intelligence

and the Noise: Why So Many Predictions Fail—But Some Don’t (New York: Penguin Books, 2015). Chapter 17: Neocortical Theories of Human Intelligence 1. Jeff Hawkins, On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines (New York: St. Martin’s Griffin, 2005

Going Clear: Scientology, Hollywood, and the Prison of Belief

by Lawrence Wright  · 17 Jan 2013  · 684pp  · 173,622 words

Katselas refused: Interviews with Art Cohan and Allen Barton. 38 Miscavige even wondered: Morton, Tom Cruise, p. 337. 39 “He’d say that Tom Cruise”: Jeff Hawkins, quoted in Reitman, Inside Scientology, p. 290. 40 “Miscavige convinced Cruise”: Rathbun, The Scientology Reformation, p. 77. 41 “He didn’t have”: Interview with Marshall

Genius Makers: The Mavericks Who Brought A. I. To Google, Facebook, and the World

by Cade Metz  · 15 Mar 2021  · 414pp  · 109,622 words

Hinton, he was also the product of a 2004 book titled On Intelligence, written by a Silicon Valley engineer, entrepreneur, and self-taught neuroscientist named Jeff Hawkins. Hawkins invented the PalmPilot, a forerunner of the iPhone from the 1990s, but what he really wanted to do was study the brain. In his

Couple Together, Engagement Ensues,” IEEE Spectrum, March 31, 2014, https://spectrum.ieee.org/automaton/robotics/humanoids/engaging-with-robots. a 2004 book titled On Intelligence: Jeff Hawkins with Sandra Blakeslee, On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines (New York: Times Books

The Singularity Is Nearer: When We Merge with AI

by Ray Kurzweil  · 25 Jun 2024

.com/watch?v=D3zUmfDd79s. BACK TO NOTE REFERENCE 47 For more on the development and function of the neocortex, see Kaas, “Evolution of the Neocortex”; Jeff Hawkins and Sandra Blakeslee, On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines (New York: Macmillan, 2007

of the Cerebral Cortex: Movin’ and Groovin’,” Developmental Cell 41, no. 4 (May 22, 2017): 332–34, https://www.sciencedirect.com/science/article/pii/S1534580717303933; Jeff Hawkins, “What Intelligent Machines Need to Learn from the Neocortex,” IEEE Spectrum, June 2, 2017, https://spectrum.ieee.org/computing/software/what-intelligent-machines-need-to

, it is still in the same general range. There may also be some significant variation from one person to another. BACK TO NOTE REFERENCE 55 Jeff Hawkins, Subutai Ahmad, and Yuwei Cui, “A Theory of How Columns in the Neocortex Enable Learning the Structure of the World,” Frontiers in Neural Circuits 11

, no. 81 (October 25, 2017), https://doi.org/10.3389/fncir.2017.00081; Jeff Hawkins, A Thousand Brains: A New Theory of Intelligence (New York: Basic Books, 2021). BACK TO NOTE REFERENCE 56 Mountcastle, “Columnar Organization of the Neocortex”; Sporns

-and-medicine/human-anatomy-and-physiology/nervous-system-introduction/v/cerebral-cortex; Hawkins, Ahmad, and Cui, “Theory of How Columns in the Neocortex Enable Learning”; Jeff Hawkins et al., “A Framework for Intelligence and Cortical Function Based on Grid Cells in the Neocortex,” Frontiers in Neural Circuits 12, no. 121 (January 11

, “ ‘Hierarchy’ in the Organization of Brain Networks,” Philosophical Transactions of the Royal Society B, February 24, 2020, https://doi.org/10.1098/rstb.2019.0319; Jeff Hawkins et al., “A Theory of How Columns in the Neocortex Enable Learning the Structure of the World,” Frontiers in Neural Circuits, October 25, 2017, https

The Founders: The Story of Paypal and the Entrepreneurs Who Shaped Silicon Valley

by Jimmy Soni  · 22 Feb 2022  · 505pp  · 161,581 words

. At one point, Levchin pulled a daring attempt at cold outreach. He attended a developer conference at 3Com’s office, and he followed Palm CEO Jeff Hawkins outside after Hawkins finished his conference keynote. Levchin approached him and asked for a ride home. Hawkins agreed, believing Levchin to be a stranded 3Com

Machines of Loving Grace: The Quest for Common Ground Between Humans and Robots

by John Markoff  · 24 Aug 2015  · 413pp  · 119,587 words

on building complex systems out of collections of simpler parts. Both Kurzweil in How to Create a Mind: The Secret of Human Thought Revealed and Jeff Hawkins in his earlier On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines attempt to make the

once they have discovered the mechanism underlying the biological human neuron, it will be simply a matter of scaling it up to create an AI. Jeff Hawkins, a successful Silicon Valley engineer who had founded Palm Computing with Donna Dubinsky, coauthored On Intelligence in 2004, which argued that the path to human

to dominate the world of artificial intelligence, ranging from Minsky’s The Society of Mind to the more recent work of electrical engineers such as Jeff Hawkins and Ray Kurzweil, who both have declared that the path to human-level AI is to be found by aggregating the simple algorithms they see

Made to Stick: Why Some Ideas Survive and Others Die

by Chip Heath and Dan Heath  · 18 Dec 2006  · 313pp  · 94,490 words

Prediction Machines: The Simple Economics of Artificial Intelligence

by Ajay Agrawal, Joshua Gans and Avi Goldfarb  · 16 Apr 2018  · 345pp  · 75,660 words

Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms: Proceedings of the Agi Workshop 2006

by Ben Goertzel and Pei Wang  · 1 Jan 2007  · 303pp  · 67,891 words

The Rise of Superman: Decoding the Science of Ultimate Human Performance

by Steven Kotler  · 4 Mar 2014  · 330pp  · 88,445 words

Switch: How to Change Things When Change Is Hard

by Chip Heath and Dan Heath  · 10 Feb 2010  · 307pp  · 94,069 words

Intertwingled: Information Changes Everything

by Peter Morville  · 14 May 2014  · 165pp  · 50,798 words

The Business of Platforms: Strategy in the Age of Digital Competition, Innovation, and Power

by Michael A. Cusumano, Annabelle Gawer and David B. Yoffie  · 6 May 2019  · 328pp  · 84,682 words

The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World

by Pedro Domingos  · 21 Sep 2015  · 396pp  · 117,149 words

Incognito: The Secret Lives of the Brain

by David Eagleman  · 29 May 2011  · 383pp  · 92,837 words

Why Startups Fail: A New Roadmap for Entrepreneurial Success

by Tom Eisenmann  · 29 Mar 2021  · 387pp  · 106,753 words

Originals: How Non-Conformists Move the World

by Adam Grant  · 2 Feb 2016  · 410pp  · 101,260 words

Our Final Invention: Artificial Intelligence and the End of the Human Era

by James Barrat  · 30 Sep 2013  · 294pp  · 81,292 words

Army of None: Autonomous Weapons and the Future of War

by Paul Scharre  · 23 Apr 2018  · 590pp  · 152,595 words

Drone Warfare: Killing by Remote Control

by Medea Benjamin  · 8 Apr 2013  · 188pp  · 54,942 words

Grouped: How Small Groups of Friends Are the Key to Influence on the Social Web

by Paul Adams  · 1 Nov 2011  · 123pp  · 32,382 words

Too Big to Know: Rethinking Knowledge Now That the Facts Aren't the Facts, Experts Are Everywhere, and the Smartest Person in the Room Is the Room

by David Weinberger  · 14 Jul 2011  · 369pp  · 80,355 words

Dogfight: How Apple and Google Went to War and Started a Revolution

by Fred Vogelstein  · 12 Nov 2013  · 275pp  · 84,418 words

The Social Animal: The Hidden Sources of Love, Character, and Achievement

by David Brooks  · 8 Mar 2011  · 487pp  · 151,810 words

eBoys

by Randall E. Stross  · 30 Oct 2008  · 381pp  · 112,674 words

A Theory of the Drone

by Gregoire Chamayou  · 23 Apr 2013  · 335pp  · 82,528 words

Losing the Signal: The Spectacular Rise and Fall of BlackBerry

by Jacquie McNish and Sean Silcoff  · 6 Apr 2015  · 327pp  · 102,322 words

Made to Break: Technology and Obsolescence in America

by Giles Slade  · 14 Apr 2006  · 384pp  · 89,250 words

Radical Technologies: The Design of Everyday Life

by Adam Greenfield  · 29 May 2017  · 410pp  · 119,823 words

Fire in the Valley: The Birth and Death of the Personal Computer

by Michael Swaine and Paul Freiberger  · 19 Oct 2014  · 459pp  · 140,010 words

Driverless: Intelligent Cars and the Road Ahead

by Hod Lipson and Melba Kurman  · 22 Sep 2016

Start Small, Stay Small: A Developer's Guide to Launching a Startup

by Rob Walling  · 15 Jan 2010  · 183pp  · 49,460 words

Possible Minds: Twenty-Five Ways of Looking at AI

by John Brockman  · 19 Feb 2019  · 339pp  · 94,769 words

The Charisma Myth: How Anyone Can Master the Art and Science of Personal Magnetism

by Olivia Fox Cabane  · 1 Mar 2012  · 287pp  · 81,014 words

Robots Will Steal Your Job, But That's OK: How to Survive the Economic Collapse and Be Happy

by Pistono, Federico  · 14 Oct 2012  · 245pp  · 64,288 words