COGNITIVE COMPUTING
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This document discusses cognitive computing and brain-inspired machine learning. It describes IBM's Watson, a question answering system, and how it has been applied in healthcare to help doctors find treatment options and in travel to provide personalized recommendations. The document also discusses neurosynaptic chips like TrueNorth that are designed to emulate the human brain through low-power event-driven operation rather than traditional architectures. TrueNorth allows for efficient implementation of cognitive algorithms through its non-von Neumann architecture.
COGNITIVE COMPUTING
- 1. - Build brain inspired machine
- 2. Table Of Content 1. About Cognitive Computing 2. Application of Cognitive Computing 3. IBM Watson 4. Neurosynaptic Chips 5. TrueNorth
- 3. COGNITIVE COMPUTING Cognition has to do with how a person understands and acts in the world. It is the set of abilities or processes that are part of nearly every human action.
- 4. COGNITIVE COMPUTING :THIRD ERA OF COMPUTING
- 6. PATH TO COGNITIVE COMPUTING
- 7. APPLICATIONS OF THE NEW BRAIN……
- 8. IBM WATSON CONTRIBUTION TO MEDICAL CENTRE Fig : The different confidence levels for each treatment and its acceptability by the patient. The most famous use case at this time is in Healthcare with the Memorial Sloan-Kettering Cancer Center (MSKCC) where Watson helps doctors to find the right treatment regarding to a given patient’s constraints.
- 9. IBM WATSON RESPONSE TO TRAVEL INDUSTRY In the travel industry, instead to searching “flight Paris Kuala Lumpur” people can key “I want to see what matters in Malaysia” and the response will include everything : airport transfers, flights, hotels, excursions etc. That’s what intention is all about.
- 10. Watson: The first cognitive system The first cognitive system was Watson, which debuted in a televised Jeopardy! challenge where it bested the show’s two greatest champions. The challenge for Watson was to answer questions posed in every nuance of natural language, such as puns, synonyms and homonyms, slang, and jargon. Watson was not connected to the Internet for the match. It only knew what it had amassed through years of persistent interaction and learning from a large set of unstructured knowledge. Using machine learning, statistical analysis and natural language processing to find and understand the clues in the questions, Watson then compared possible answers, by ranking its confidence in their accuracy, and respond – all in about three seconds. Newer generations of Watson are currently being trained in oncology diagnosis for healthcare professionals, and in customer service as a support representative. IBM Research continues to push the boundaries of Watson by developing new interfaces that will allow humans and computers to interact more naturally.
- 11. NEUROSYNAPTIC CHIP The neurosynaptic chip designed to emulate the neurons and synapses in the human brain, breaks path with traditional architectures used for the last 70 years. Neurosynaptic Chip is especially designed for low power consumption The chip consumes merely 70 milliwatts, and is capable of 46 billion synaptic operations per second, per watt–literally a synaptic supercomputer in your palm.
- 13. Traditional chips run all of the time. This new neurosynaptic chip is event-driven andoperates only when it needs to, resulting in a cooler operating environment and lower energy use. The neurosynaptic chip veers from the traditional von Neumann architecture, which inherently creates a bottleneck limiting performance of the system. Different from a standard chip
- 14. The non-von Neumann nature of the True North architecture necessitates a novel approach to efficient system design. True North is a versatile substrate for integrating spatio-temporal, real-time cognitive algorithms for multi-modal, sub-symbolic, sensor-actuator system. TRUE NORTH