Cognitive computing 2016
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Cognitive computing systems use machine learning algorithms to mimic human cognition. They are able to perform complex tasks through adaptive, interactive, and iterative processes that allow them to continually acquire knowledge from data. Major examples of cognitive computing include IBM's Watson, which can understand natural language questions and provide justified answers by analyzing vast amounts of data in seconds. Cognitive computing has applications in healthcare, agriculture, transportation, security, and more.
Cognitive computing 2016
- 1. COGNITIVE COMPUTING JIMSIAH IBRAHIMKUTTY MCA V REG NO:501409
- 3. COGNITION Cognition is "the mental action or process of acquiring knowledge and understanding through thought,experience,and the senses”. Cognitive processes use existing knowledge and generate new knowledge. The concept of cognition is closely related to abstract concepts such as mind and intelligence. Technologies – natural language processing, machine learning
- 4. Cognitive technologies are products of the field of artificial intelligence. So what will be a cognitive system..?? They are able to perform tasks that only humans used to be able to do.
- 5. In order to achieve this new level of computing, cognitive systems must be 1. Adaptive 2. Interactive 3. Iterative and stateful 4. Contextual
- 7. COGNITIVE COMPUTING Mimicking the function of a human brain and handling human kind of problems. Combination of technologies to understand human interaction and provide answers. Cognitive computing systems use machine learning algorithms. Such systems continually acquire knowledge from the data.
- 8. Three eras of computing 1. Tabulating system(1900)-adding objects 2. Programmable system(1950)-processing numbers 3. Cognitive computing- make sense of data, prediction
- 9. WHEN COMPUTER BECOMES BRAINS The human brain integrates memory and processing together It reacts to things in its environment But a computer has separate memory and processing. It does its work by a clock.
- 10. For the first time in computing history, it’s possible for machines to learn from experience and penetrate the complexity of data to identify associations. The field is called cognitive analytics™—inspired by how the human brain processes information, draws conclusions instead of depending on predefined rules and structured queries. Cognitive analytics can push past the limitations of human cognition, allowing us to process and understand big data in real time. Context-based hypotheses can be formed by exploring massive numbers of permutations of potential relationships of influence and causality—leading to conclusions .
- 11. ARCHITECTURE Three major elements.. a) Executive layer planner and simulation b) Coordination layer diagnoser, model base, monitor, and executor c) Execution layer effector and perceptor.
- 12. ARCHITECTURE
- 13. WATSON Super computer developed by IBM Research Named for IBM’s founder –Thomas J Watson Research team led by Principal Investigator Dr. David Ferrucci. Programmed by 25 IBM scientists Not connected to Internet
- 14. • Watson is an artificial intelligent computer system • Capable of answering questions posed in natural languages • Able to build knowledge and learn ,understand natural language and interact more naturally with human beings • More than hundred techniques are used to analyse natural language WATSON
- 15. TECHNOLOGY Question answering technology Deep understanding of human language Software-DeepQA Runs on cluster of power 750 computers 10 racks holding 90 servers 2880 3.55GHz power processor cores 16 TB memory Hold approximately one million books
- 16. HOW DOES WATSON ANSWER A QUESTION
- 18. GOAL OF WATSON According to IBM, "The goal is to have computers start to interact in natural human terms across a range of applications and processes, understanding the questions that humans ask and providing answers that humans can understand and justify.“ The goal of cognitive computing is to create automated IT systems that are capable of solving problems without requiring human assistance.
- 19. APPLICATIONS •HEALTHCARE The Data Explosion-Medical data are expected to double every 73 days by 2020. The Great Unknown-80% of health data are invisible to current systems because they are unstructured. Watson Health can see them. A Quick Study-Watson can read 40 million documents in 15 seconds.
- 20. • Cognitive Computing is making agriculture more productive. • Cognitive Computing is making cars smarter. • Cognitive Computing is making our homes and offices more secure, as well as our borders.
- 21. FUTURE ASPECTS Augmented Virtual Reality Sentient Systems Specialized Deep Learning on Big Data sets Generalized Artificial Intelligence systems
- 22. CONCLUSION Cognitive computing has been characterized as a set of autonomous and perceptive knowledge processing theories and technologies mimicking the mechanisms of the brain beyond conventional imperative data processing