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Interviews

Jeff Hawkins: Computer Scientist

Tags: Interview , Computer Science

» More stories in Interviews

 

Original air date:

10.31.07

Rethinking the Way We Think

Jeff Hawkins is a man whose inventions are bigger than many people’s imaginations.  Born on the North Shore of Long Island in 1950, he was raised on innovation.  In an interview with Pen Computing Magazine, Hawkins describes his father as a “consummate inventor” who raised Jeff and his brothers in a “crazy house where they had a good time.”   In Hawkins’ case,  a good time  meant building all manner of floating objects, the biggest of which   was a floating platform that operated as a hovercraft on the water.  The 50 ton vessel, christened “Sea Space”, was powered by a household vacuum.  Hawkins got his first taste of the profit potential of his inventions when a local orchestra purchased Sea Space and used it to float up to the shoreline and perform for beachgoers.  

From Long Island Hawkins headed to Cornell University, where he received a degree in Electronic Engineering in 1979.  He made his way to the computer company GRiD Systems, where he developed GRiDTask, a programming language for creating other applications   similar to the contemporary Rapid Application Development programs.  In the midst of this exciting and lucrative environment, Hawkins realized that his real interests needed   an academic treatment, so he left GRiD  and enrolled   at the University of California at Berkeley.

While at Berkeley, Hawkins studied theoretical neuroscience in the hopes of figuring out if  a computer might be able to recognize patterns like a human.  It was during this period that Hawkins found his passion: understanding how the human brain works.   Professors   didn’t respond well to Hawkins’ thesis proposal, but he was able to write and patent his pattern classifier program that would later become the backbone of today’s Palm OS computers.

Frustrated, but recommitted   to understanding the brain and applying  that knowledge to real world , Hawkins headed back to GRiD,  where  he   developed the first Personal Digital Assistant (PDA) called the GRiDPAD.  Beyond his  amazing invention, Hawkins saw even more potential in handheld computing on the horizon but was  once again   met with skepticism.   In 1992 Hawkins left GRiD to start his own company,   Palm Computing.

Palm began as a software company, but Hawkins was consistently frustrated by what he saw as the inability of  hardware manufacturers   to get his products   off the ground.  Eventually Hawkins, Palm, and  partner company US Robotics would follow his vision and the Palm PDA was born.

Despite the huge success of the Palm Pilot in the 1990’s, Hawkins’ next idea once again ran into a roadblock as 3Com owned   U.S. Robotics didn’t see the value of his next idea.  Hawkins left Palm to found a new company, Handspring, and developed the highly successful Treo PDA.  Hawkins would soon merge Handspring with Palm and rename the new company PalmOne.  Now known simply as Palm, Inc., the company has a 70% market share in handheld computing.

 All of his private sector goals achieved,   Hawkins continued to pursue his passion by funding the Redwood Center for Theoretical Neuroscience.  Hawkins also took time out to write a book that offers up a whole new paradigm in brain theory. On Intelligence, published in 2004, delineates his memory-prediction framework which posits that the brain works on a hierarchy of predictions to understand the world. 

Currently Hawkins continues     to put his ideas into practice through his newest company, Numenta.  A joint venture between Hawkins and his cofounder from Palm, Donna Dubinsky, Numenta hopes to create  true artificial intelligence based on the ideas Hawkins set forth in his book. 

CommentsComments

61 Posts

+ Add Comment

11.21.07 5:58 PM PST

Dave C

If teaching a computer to think takes time, then why not turn to 1000s of teachers to teach it. Possibly useing an internet site to "correct" the computer's homework. Because the computer could proably crank out tons of wrong answers and a few right ones, you would need thousands of people there to grade the answers. Over time the hierarchy could be fine tuned and able to progress to coloring books, let alone just being able to tell cat from dog.

3.29.08 10:45 PM PDT

sach

the mind is not as comlpex as we might like to think. infact the processes are very simple as you might expect. the give computer the ability to function in a similar manner to man it must learn. It would be very difficult if not impossible, to simply add one learning system to another even if they work on the same principal. Yes they could communicate and learn and correct eachother but again its upon the learner how to take in the information it recieves. It all relative and relational with just an interlinked hierachle system to make use of it. why people persist in trying to make computers talk and recognise objects independantly of oneanother i will never understand. The way of associated learning is the full solution to AI

4.1.08 7:50 PM PDT

Allen Gliniewicz

I was very interested in your feature on brain neuroscience. I have worked with many(hundreds) of some of the largest computer system at some of the companies where I was employed (e.g., NASA, Boeing, TRW Systems, GE, etc.) over a 44 year career. Also I was in a "university without walls" Phd program dealing with the brain that I had to give because of prostate cancer( which I have been free of for more than 7 years).
I was attached by the fact that your expression of how the brain was functionally organized was the same as I expressed years ago, after noting the logical structure similarities of many computer systems.
How can I help you?
Allen Gliniewicz
cell 713.855.4959

11.20.08 8:57 PM PST

Clarence Netwal

I obviously viewed th intervied with Mr. Hawkins via a rerun. He referred to the hierarchical organization of the brain. Coming from a software experience this is how the situation would be described. Would there be any value in incorporating concepts from fractal geometry, another way to treat repeating structures?

Clarence Netwal

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