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Processing Data :

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darien lorenzo

on 5 February 2015

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Transcript of Processing Data :

In Conclusion
Members
Cognitive Computing
What is it?
Cognitive Computing, the aspired
' way of the future ' ,
has therefore been proven to pose itself incredibly useful to us as humans. Based on the evidence presented, Cognitive Computing brings us one step closer to solving our most difficult problems and, it can revolutionize our very lifestyle.
Do these things exist?
Examples of Cognitive Computers
Uses of Cognitive Computers
What can they do?
The Operation of
Cognitive Computers
Devesha Tewari (Leader)
Darien Bala
Anthony Soodeen
Arvind Maharaj
Kristy Ragoobarsingh
Kyren Katwaroo
Paul Budhai
Peter Kumar
Ravi Mongru
Shalana Mohammed
Shane Sahatoo
Cognitive Computers seem to think and learn as humans do.
They help us humans by penetrating the complexity of Big Data.
They do this using Artificial Intelligence and Algorithms.
Cognitive computing seeks a universal algorithm for the brain.

What is Cognitive Computing?
Cognitive Computers can be applied to:

- Governmental Operations

- Disaster Preparedness

- Medicine

Cognitive Computers however, do not make human work obsolete.

Applications of
Cognitive Computers
Processing Data :
Cognitive Computing

Group E1
The History of Cognitive Computing
John McCarthy, 1955.

Mostly Recognized in Entertainment Media.

George Boole and Charles Babbage.


How do Cognitive Computers Work?
The computer as a partner, rather than a device

Akin to the Human Brain.

They can process Natural Language.

They Infer data.


A True Cognitive Computer Must Be:
Adaptive

Interactive

Iterative

Stately

Contextual

Artificial Intelligence

Cognitive Computers are ‘trained’ using Artificial Intelligence.

Artificial Intelligence
The development of computer systems able to perform tasks which would normally require human intelligence eg: perception, speech recognition, decision making and reasoning.

Machine Learning
Cognitive Computers ‘learn’ through Machine Learning.

The concept of machine learning is allowing the machine to try out different things so that it can ‘learn’ to do things in the same way that a human might eg: The True North Architecture.
How do these things work?
Cognitive Computers can act as a regular computer.

Conceptually:
Everyday computers are limited.
Cognitive computers grow.

Technically:
(Most) Everyday Computers use Von Neumann Architecture.
Cognitive Computers process instructions in an attempt to copy the Architecture of the Human Brain.

Cognitive Computers vs
Our Computers
The IBM Watson
First Appeared on Jeopardy!

Question Answering Machine.

Uses DeepQA and the Apache UIMA

Was written in Java, C++ and Prolog.


The CIM Shell
Cognitive Information Management Shell

Used to develop agri-intelligence in India.

Based on a sensor/alert system that generally would increase crop productivity.

The Stanford Stanley
An Autonomous/Driverless Car.

Stanford University with Volkswagen Electronics Research Laboratory.

Won the 2005 DARPA Grand Challenge.

Thank You for Your Time!
References
"Cognitive Computing: Artificial Intelligence Meets Business Intelligence."
IBM Research: Cognitive Computing. Accessed November 3, 2014.

DeAngelis, Stefan F. "Cognitive Computing and Human/Computer Interactions - Enterra Solutions."
Enterra Solutions. February 3, 2014. Accessed November 3, 2014.

Kobelius, James. "Cognitive Computing Can Take the Semantic Web to the next Level." InfoWorld. January 30, 2014.
Accessed November 3, 2014. http://www.infoworld.com/article/2610447/big-data/cognitive-computing-can-take-the-semantic-web-to-the-next-level.html.

Wang, Yingxu, Jean Claude Latombe, Du Zhang, and Witold Kisner. "Advances in Cognitive Informatics and
Cognitive Computing: Report on IEEE ICCI’08 at Stanford University." International Journal of Cognitive Informatics and Natural Intelligence 3, no. 4 (2009). Accessed November 3, 2014. http://www.ucalgary.ca/icic/files/icic/19-IJCINI-3406-ReportICCI'08.pdf.

Wang, Yingxu. Advances in Cognitive Informatics and Cognitive Computing. Berlin: Springer-Verlag, 2010.

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Objectives
Knowing what exactly is a Cognitive Computer.

Understanding the Origins of Cognitive Computing.

To gain knowledge on the Workings of a Cognitive Computer.
• Understanding Artificial Intelligence and Machine Learning.

To learn about the Applications of Cognitive Computers.
• Be able to differentiate cognitive computers from our computers

Learn about Examples of Cutting Edge Cognitive Computers.

To know where cognitive computing is going.
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The IBM TrueNorth
Established in 2006, under the SyNAPSE Program.

This branched from the Watson Project.

Used to simulate neurotic and synaptic data transfers.

Contains 10 billion neurons and 100 trillion synapses.
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Questions?
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Full transcript