Collaborating Authors

Understanding 20161128 v8


This presentation provides an initial conceptual framework for "Understanding Cognitive Systems" – this presentation can be downloaded from I'm Jim Spohrer, I work at IBM and I am the presenter, and in today's short talk, I will briefly cover what is a cognitive system (entity) – both biological and digital. Then I will briefly discuss how to build, understand, and work with digital cognitive systems – and how this is steps towards a next generation cognitive curriculum, including types of digital cognitive systems. Biological cognitive system entities… and human intelligence… The best explanation of what a biological cognitive system entity is can be found in Terrence Deacon's book- the Symbolic Species – the co-evolution of language and the brain. All easily recognizable biological cognitive systems from ants to wolves to crows to dolphins to monkeys to people have brains that have co-evolved with symbol systems - chemical, visual, auditory – that individuals of the species you as a type of language for communicating and coordinating reasoning and interactions and the accumulation of knowledge for successful multi-generational living in an environment.

Three businesses using cognitive technology - Watson


February 16, 2017 Written by: Susan C. Daffron Today's businesses are capitalizing on cognitive capabilities to gain a competitive advantage. However, not everyone embracing cognitive is entirely sure what it can do for them. According to the study, 46 percent of early adopters struggle with a roadmap for adoption and only 7 percent report that they have a comprehensive, company-wide strategy.1 Once you understand the possibilities of cognitive technology, it can open up new opportunities for innovation. Here are three examples of organizations that use cognitive technology today to transform their businesses.

Cognitive Computing: The Next Level of Intelligence


As Cognitive Systems aim to handle real world problems, which are highly uncertain and may be influenced by potentially unlimited number of different factors, quality and consistency of their results highly depends on the number of factors they consider while making the decision. That brings yet another technological trade-off as the complexity of the problem grows tremendously with the number of the data sources. Aggregating and integrating the data from different data sources and processing it in a unified way is also challenging. Here is where Apache Spark project comes into play providing distributed and highly efficient tool that covers most of the present data processing and analytics routines. It also addresses another important requirement of having the most important data available for the real-time ad-hoc access while being able to reach a long track of historical data for better insight.

Cognitive Radio Technology - Programmer Books


Cognitive radio technology is a smarter, faster, and more efficient way to transmit information to and from fixed, mobile, other wireless communication devices. Cognitive radio builds upon software-defined radio technology. A cognitive radio system is'aware' of its operating environment and automatically adjusts itself to maintain desired communications-it's like having a trained operator'inside' the radio making constant adjustments for maximum performance. Operating frequency, power output, antenna orientation/beamwidth, modulation, and transmitter bandwidth are just a few of the operating parameters that can automatically be adjusted "on the fly" in a cognitive radio system. Fette has constructed a cutting-edge volume that hits all of the important issues including research, management, and support.

'Cognitive computing' is a misnomer


Since I'm a cognitive scientist and also something of a data scientist, I figured I'd weigh in on'Cognitive Computing'--what it is, what it isn't, and what is could (and should) be. The'cognitive' bit of Cognitive Computing is a marketing term. Cognitive computing describes technology platforms that broadly speaking, are based on the scientific disciplines of Artificial Intelligence and Signal Processing. These platforms encompass machine learning, reasoning, natural language processing, speech and vision, human-computer interaction, dialog and narrative generation and more. From the people I've talked to who work with this stuff, the converged-upon definition of Cognitive Computing seems to boil down to inference plus recommendation.