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Cognitive computing refers to 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 recognition and vision ( object recognition), human–computer interaction, dialog and narrative generation, among other technologies. [1] [2]
At present, there is no widely agreed upon definition for cognitive computing in either academia or industry. [1] [3] [4]
In general, the term cognitive computing has been used to refer to new hardware and/or software that mimics the functioning of the human brain [5] [6] [7] [8] [9] (2004) and helps to improve human decision-making. [10] In this sense, cognitive computing is a new type of computing with the goal of more accurate models of how the human brain/ mind senses, reasons, and responds to stimulus. Cognitive computing applications link data analysis and adaptive page displays ( AUI) to adjust content for a particular type of audience. As such, cognitive computing hardware and applications strive to be more affective and more influential by design.
The term "cognitive system" also applies to any artificial construct able to perform a cognitive process where a cognitive process is the transformation of data, information, knowledge, or wisdom to a new level in the DIKW Pyramid. [11] While many cognitive systems employ techniques having their origination in artificial intelligence research, cognitive systems, themselves, may not be artificially intelligent. For example, a neural network trained to recognize cancer on an MRI scan may achieve a higher success rate than a human doctor. This system is certainly a cognitive system but is not artificially intelligent.
Cognitive systems may be engineered to feed on dynamic data in real-time, or near real-time, [12] and may draw on multiple sources of information, including both structured and unstructured digital information, as well as sensory inputs (visual, gestural, auditory, or sensor-provided). [13]
Cognitive computing-branded technology platforms typically specialize in the processing and analysis of large, unstructured datasets. [14]
Cognitive computing in conjunction with big data and algorithms that comprehend customer needs, can be a major advantage in economic decision making.
The powers of cognitive computing and artificial intelligence hold the potential to affect almost every task that humans are capable of performing. This can negatively affect employment for humans, as there would be no such need for human labor anymore. It would also increase the inequality of wealth; the people at the head of the cognitive computing industry would grow significantly richer, while workers without ongoing, reliable employment would become less well off. [23]
The more industries start to use cognitive computing, the more difficult it will be for humans to compete. [23] Increased use of the technology will also increase the amount of work that AI-driven robots and machines can perform. Only extraordinarily talented, capable and motivated humans would be able to keep up with the machines. The influence of competitive individuals in conjunction with artificial intelligence/cognitive computing with has the potential to change the course of humankind. [24]
This article has multiple issues. Please help
improve it or discuss these issues on the
talk page. (
Learn how and when to remove these template messages)
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Cognitive computing refers to 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 recognition and vision ( object recognition), human–computer interaction, dialog and narrative generation, among other technologies. [1] [2]
At present, there is no widely agreed upon definition for cognitive computing in either academia or industry. [1] [3] [4]
In general, the term cognitive computing has been used to refer to new hardware and/or software that mimics the functioning of the human brain [5] [6] [7] [8] [9] (2004) and helps to improve human decision-making. [10] In this sense, cognitive computing is a new type of computing with the goal of more accurate models of how the human brain/ mind senses, reasons, and responds to stimulus. Cognitive computing applications link data analysis and adaptive page displays ( AUI) to adjust content for a particular type of audience. As such, cognitive computing hardware and applications strive to be more affective and more influential by design.
The term "cognitive system" also applies to any artificial construct able to perform a cognitive process where a cognitive process is the transformation of data, information, knowledge, or wisdom to a new level in the DIKW Pyramid. [11] While many cognitive systems employ techniques having their origination in artificial intelligence research, cognitive systems, themselves, may not be artificially intelligent. For example, a neural network trained to recognize cancer on an MRI scan may achieve a higher success rate than a human doctor. This system is certainly a cognitive system but is not artificially intelligent.
Cognitive systems may be engineered to feed on dynamic data in real-time, or near real-time, [12] and may draw on multiple sources of information, including both structured and unstructured digital information, as well as sensory inputs (visual, gestural, auditory, or sensor-provided). [13]
Cognitive computing-branded technology platforms typically specialize in the processing and analysis of large, unstructured datasets. [14]
Cognitive computing in conjunction with big data and algorithms that comprehend customer needs, can be a major advantage in economic decision making.
The powers of cognitive computing and artificial intelligence hold the potential to affect almost every task that humans are capable of performing. This can negatively affect employment for humans, as there would be no such need for human labor anymore. It would also increase the inequality of wealth; the people at the head of the cognitive computing industry would grow significantly richer, while workers without ongoing, reliable employment would become less well off. [23]
The more industries start to use cognitive computing, the more difficult it will be for humans to compete. [23] Increased use of the technology will also increase the amount of work that AI-driven robots and machines can perform. Only extraordinarily talented, capable and motivated humans would be able to keep up with the machines. The influence of competitive individuals in conjunction with artificial intelligence/cognitive computing with has the potential to change the course of humankind. [24]