Some considerations on how the human brain must be arranged in order to make its replication in a thinking machine possible

arXiv.org Artificial Intelligence

For the most of my life, I have earned my living as a computer vision professional busy with image processing tasks and problems. In the computer vision community there is a widespread belief that artificial vision systems faithfully replicate human vision abilities or at least very closely mimic them. It was a great surprise to me when one day I have realized that computer and human vision have next to nothing in common. The former is occupied with extensive data processing, carrying out massive pixel-based calculations, while the latter is busy with meaningful information processing, concerned with smart objects-based manipulations. And the gap between the two is insurmountable. To resolve this confusion, I had had to return and revaluate first the vision phenomenon itself, define more carefully what visual information is and how to treat it properly. In this work I have not been, as it is usually accepted, biologically inspired . On the contrary, I have drawn my inspirations from a pure mathematical theory, the Kolmogorov s complexity theory. The results of my work have been already published elsewhere. So the objective of this paper is to try and apply the insights gained in course of this my enterprise to a more general case of information processing in human brain and the challenging issue of human intelligence.



The Thinking Machine

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"When you are born, you know nothing." This is the kind of statement you expect to hear from a philosophy professor, not a Silicon Valley executive with a new company to pitch and money to make. A tall, rangy man who is almost implausibly cheerful, Hawkins created the Palm and Treo handhelds and cofounded Palm Computing and Handspring. His is the consummate high tech success story, the brilliant, driven engineer who beat the critics to make it big. Now he's about to unveil his entrepreneurial third act: a company called Numenta. But what Hawkins, 49, really wants to talk about -- in fact, what he has really wanted to talk about for the past 30 years -- isn't gadgets or source codes or market niches.


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According to scientists and legal experts, responding to the bank's warning this November, there is now an urgent need for the development of intelligent algorithms to be put on the political agenda. Top of the agenda as far as Lightfoot is concerned is the economic impact if AI cuts large amounts of jobs and the incomes from people, how will they make a living and what will they do, a concern that Professor Toby Walsh, an expert in AI at Australia's University of New South Wales and a prominent campaigner against the use of AI in military weapons, says is justified and one that needs to be urgently considered. Though Professor Walsh and fellow AI expert Murray Shanahan, Professor of Cognitive Robotics at London's Imperial College were wary of calls for regulation of the sector, which they said, would inhibit research. According to Professor Walsh scientists working in AI have already started to exercise a degree of self-control over the exploitation of the discoveries being made in AI the areas that need to be focussed on are the ramifications of the technology.


Maurice Conti: Can Machines Think And Feel For Themselves?

NPR

Futurist Maurice Conti says we've entered a new era where machines and humans partner to do what neither can do alone. He calls it the "Augmented Age." Maurice Conti is a designer and innovator. Currently, he is the Director of Applied Research and Innovation at Autodesk -- a 3-D design and engineering software company. His research focuses on how future innovations and advanced robotics will help make our world a better place.