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.

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

5. WHY COGNITIVE
COMPUTING
ADAPTIVE ACTIVITY

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

15. TRUENORTH SYNAPSE DESIGN