By Vijay V Raghavan, Venkat N. Gudivada, Venu Govindaraju, C.R. Rao
Cognitive Computing: conception and Applications, written through across the world well known specialists, specializes in cognitive computing and its conception and functions, together with using cognitive computing to control renewable power, the surroundings, and different scarce assets, computing device studying types and algorithms, biometrics, Kernel established versions for transductive studying, neural networks, graph analytics in cyber safeguard, neural networks, information pushed speech popularity, and analytical structures to check the brain-computer interface.
- Comprehensively offers some of the points of statistical methodology
- Discusses a large choice of numerous functions and up to date developments
- Contributors are the world over popular specialists of their respective areas
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Additional info for Cognitive Computing: Theory and Applications
The neurons in the auditory cortex acquired response and organizational characteristics resembling those of a normally functioning primary visual cortex. , unsupervised learning) useful in analyzing visual input. From an algorithmic viewpoint, the above suggests that the minicolumn has one or more general learning algorithms embedded within its circuitry to cope with high-dimensional complex data. It would be of great relevance to AI to know what these are. 3 NEOCORTICAL BRAIN ORGANIZATION The reader needs some basic information about brain organization at the systems level to understand this chapter.
7 Cognitive Robots IBM Watson is used at SoftBank Robotics, which is a provider of robotics platforms. IBM Watson-powered robot, called Pepper, is under development at SoftBank Robotics. Watson will help Pepper to extract meaning from unstructured data including text, images, video, and social media. 8 Deep Learning and Image Search Machine learning algorithms play a prominent role in cognitive computing. However, many of them require hand crafting of features, which requires substantial effort.
2008. Cognitive architectures: where do we go from here? In: Proceedings of the 2008 Conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference. IOS Press, Amsterdam, The Netherlands, pp. 122–136. , 2015. How to Build a Brain: A Neural Architecture for Biological Cognition. Oxford University Press, Oxford. , 2014. The use and abuse of large-scale brain models. Curr. Opin. Neurobiol. 25, 1–6. (Theoretical and computational neuroscience). ISSN 0959-4388. 009.. , 2012.
Cognitive Computing: Theory and Applications by Vijay V Raghavan, Venkat N. Gudivada, Venu Govindaraju, C.R. Rao