Four attributes of intelligence, a thousand questions
Biol Cybern. 2023 Dec 7. doi: 10.1007/s00422-023-00979-4. Online ahead of print.ABSTRACTJeff Hawkins is one of those rare individuals who speaks the languages of both AI and neuroscience. In his recent book, "A Thousand Brains: A New Theory of Intelligence", Hawkins proposes that current learning algorithms lack four attributes which will be necessary for true machine intelligence. Here we demonstrate that a minimal learning system which satisfies all four points can be constructed using only simple, classical machine learning techniques. We illustrate that such a system falls short of biological intelligence in some impor...
Source: Biological Cybernetics - December 7, 2023 Category: Science Authors: Matthieu Bardal Eric Chalmers Source Type: research
Four attributes of intelligence, a thousand questions
Biol Cybern. 2023 Dec 7. doi: 10.1007/s00422-023-00979-4. Online ahead of print.ABSTRACTJeff Hawkins is one of those rare individuals who speaks the languages of both AI and neuroscience. In his recent book, "A Thousand Brains: A New Theory of Intelligence", Hawkins proposes that current learning algorithms lack four attributes which will be necessary for true machine intelligence. Here we demonstrate that a minimal learning system which satisfies all four points can be constructed using only simple, classical machine learning techniques. We illustrate that such a system falls short of biological intelligence in some impor...
Source: Biological Cybernetics - December 7, 2023 Category: Science Authors: Matthieu Bardal Eric Chalmers Source Type: research
Four attributes of intelligence, a thousand questions
Biol Cybern. 2023 Dec 7. doi: 10.1007/s00422-023-00979-4. Online ahead of print.ABSTRACTJeff Hawkins is one of those rare individuals who speaks the languages of both AI and neuroscience. In his recent book, "A Thousand Brains: A New Theory of Intelligence", Hawkins proposes that current learning algorithms lack four attributes which will be necessary for true machine intelligence. Here we demonstrate that a minimal learning system which satisfies all four points can be constructed using only simple, classical machine learning techniques. We illustrate that such a system falls short of biological intelligence in some impor...
Source: Biological Cybernetics - December 7, 2023 Category: Science Authors: Matthieu Bardal Eric Chalmers Source Type: research
Face detection based on a human attention guided multi-scale model
Biol Cybern. 2023 Dec 1. doi: 10.1007/s00422-023-00978-5. Online ahead of print.ABSTRACTMultiscale models are among the cutting-edge technologies used for face detection and recognition. An example is Deformable part-based models (DPMs), which encode a face as a multiplicity of local areas (parts) at different resolution scales and their hierarchical and spatial relationship. Although these models have proven successful and incredibly efficient in practical applications, the mutual position and spatial resolution of the parts involved are arbitrarily defined by a human specialist and the final choice of the optimal scales ...
Source: Biological Cybernetics - December 1, 2023 Category: Science Authors: Marinella Cadoni Andrea Lagorio Enrico Grosso Source Type: research
Face detection based on a human attention guided multi-scale model
Biol Cybern. 2023 Dec 1. doi: 10.1007/s00422-023-00978-5. Online ahead of print.ABSTRACTMultiscale models are among the cutting-edge technologies used for face detection and recognition. An example is Deformable part-based models (DPMs), which encode a face as a multiplicity of local areas (parts) at different resolution scales and their hierarchical and spatial relationship. Although these models have proven successful and incredibly efficient in practical applications, the mutual position and spatial resolution of the parts involved are arbitrarily defined by a human specialist and the final choice of the optimal scales ...
Source: Biological Cybernetics - December 1, 2023 Category: Science Authors: Marinella Cadoni Andrea Lagorio Enrico Grosso Source Type: research
Face detection based on a human attention guided multi-scale model
Biol Cybern. 2023 Dec 1. doi: 10.1007/s00422-023-00978-5. Online ahead of print.ABSTRACTMultiscale models are among the cutting-edge technologies used for face detection and recognition. An example is Deformable part-based models (DPMs), which encode a face as a multiplicity of local areas (parts) at different resolution scales and their hierarchical and spatial relationship. Although these models have proven successful and incredibly efficient in practical applications, the mutual position and spatial resolution of the parts involved are arbitrarily defined by a human specialist and the final choice of the optimal scales ...
Source: Biological Cybernetics - December 1, 2023 Category: Science Authors: Marinella Cadoni Andrea Lagorio Enrico Grosso Source Type: research
Face detection based on a human attention guided multi-scale model
Biol Cybern. 2023 Dec 1. doi: 10.1007/s00422-023-00978-5. Online ahead of print.ABSTRACTMultiscale models are among the cutting-edge technologies used for face detection and recognition. An example is Deformable part-based models (DPMs), which encode a face as a multiplicity of local areas (parts) at different resolution scales and their hierarchical and spatial relationship. Although these models have proven successful and incredibly efficient in practical applications, the mutual position and spatial resolution of the parts involved are arbitrarily defined by a human specialist and the final choice of the optimal scales ...
Source: Biological Cybernetics - December 1, 2023 Category: Science Authors: Marinella Cadoni Andrea Lagorio Enrico Grosso Source Type: research
Face detection based on a human attention guided multi-scale model
Biol Cybern. 2023 Dec 1. doi: 10.1007/s00422-023-00978-5. Online ahead of print.ABSTRACTMultiscale models are among the cutting-edge technologies used for face detection and recognition. An example is Deformable part-based models (DPMs), which encode a face as a multiplicity of local areas (parts) at different resolution scales and their hierarchical and spatial relationship. Although these models have proven successful and incredibly efficient in practical applications, the mutual position and spatial resolution of the parts involved are arbitrarily defined by a human specialist and the final choice of the optimal scales ...
Source: Biological Cybernetics - December 1, 2023 Category: Science Authors: Marinella Cadoni Andrea Lagorio Enrico Grosso Source Type: research
What can computer vision learn from visual neuroscience? Introduction to the special issue
Biol Cybern. 2023 Oct;117(4-5):297-298. doi: 10.1007/s00422-023-00977-6.NO ABSTRACTPMID:37812267 | DOI:10.1007/s00422-023-00977-6 (Source: Biological Cybernetics)
Source: Biological Cybernetics - October 9, 2023 Category: Science Authors: Kexin Chen Hirak J Kashyap Jeffrey L Krichmar Xiumin Li Source Type: research
What can computer vision learn from visual neuroscience? Introduction to the special issue
Biol Cybern. 2023 Oct;117(4-5):297-298. doi: 10.1007/s00422-023-00977-6.NO ABSTRACTPMID:37812267 | DOI:10.1007/s00422-023-00977-6 (Source: Biological Cybernetics)
Source: Biological Cybernetics - October 9, 2023 Category: Science Authors: Kexin Chen Hirak J Kashyap Jeffrey L Krichmar Xiumin Li Source Type: research
What can computer vision learn from visual neuroscience? Introduction to the special issue
Biol Cybern. 2023 Oct;117(4-5):297-298. doi: 10.1007/s00422-023-00977-6.NO ABSTRACTPMID:37812267 | DOI:10.1007/s00422-023-00977-6 (Source: Biological Cybernetics)
Source: Biological Cybernetics - October 9, 2023 Category: Science Authors: Kexin Chen Hirak J Kashyap Jeffrey L Krichmar Xiumin Li Source Type: research
What can computer vision learn from visual neuroscience? Introduction to the special issue
Biol Cybern. 2023 Oct;117(4-5):297-298. doi: 10.1007/s00422-023-00977-6.NO ABSTRACTPMID:37812267 | DOI:10.1007/s00422-023-00977-6 (Source: Biological Cybernetics)
Source: Biological Cybernetics - October 9, 2023 Category: Science Authors: Kexin Chen Hirak J Kashyap Jeffrey L Krichmar Xiumin Li Source Type: research
What can computer vision learn from visual neuroscience? Introduction to the special issue
Biol Cybern. 2023 Oct;117(4-5):297-298. doi: 10.1007/s00422-023-00977-6.NO ABSTRACTPMID:37812267 | DOI:10.1007/s00422-023-00977-6 (Source: Biological Cybernetics)
Source: Biological Cybernetics - October 9, 2023 Category: Science Authors: Kexin Chen Hirak J Kashyap Jeffrey L Krichmar Xiumin Li Source Type: research
What can computer vision learn from visual neuroscience? Introduction to the special issue
Biol Cybern. 2023 Oct;117(4-5):297-298. doi: 10.1007/s00422-023-00977-6.NO ABSTRACTPMID:37812267 | DOI:10.1007/s00422-023-00977-6 (Source: Biological Cybernetics)
Source: Biological Cybernetics - October 9, 2023 Category: Science Authors: Kexin Chen Hirak J Kashyap Jeffrey L Krichmar Xiumin Li Source Type: research
What can computer vision learn from visual neuroscience? Introduction to the special issue
Biol Cybern. 2023 Oct;117(4-5):297-298. doi: 10.1007/s00422-023-00977-6.NO ABSTRACTPMID:37812267 | DOI:10.1007/s00422-023-00977-6 (Source: Biological Cybernetics)
Source: Biological Cybernetics - October 9, 2023 Category: Science Authors: Kexin Chen Hirak J Kashyap Jeffrey L Krichmar Xiumin Li Source Type: research
