Research
Dr. John Kelly
Senior Vice President and Director, IBM Research
IBM Research: The World is Our Lab
Dublin
China
Watson
Almaden
Zurich
Haifa
India
Tokyo
Austin
Kenya
Brazil
Melbourne
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Foundation for a Smarter Planet
Cloud
Mobile
Social
Internet of Things
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Big Data and Analytics across Industries
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Healthcare for
the individual
Transactive
Energy
Management
Natural
Resources
Optimization
Marketing
Analytics
4
Research Innovation in Support of Client Engagements
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Eras of Computing
Cognitive
Systems Era
Programmable
Systems Era
Tabulating
Systems Era
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IBM Research: Leading in Key Technologies for Big Data
Context and
Learning
1
Visual Analytics
and Interaction
2
Software Defined
Environments
3
Data-centric
Systems
4
Atomic and
Nano-scale
5
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1 Context and Learning
Accelerated
Discovery
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Global Business
Development Platform
Watson 1.0
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2 Visual Analytics and Interaction
Security Analytics
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Ice Floe Forecast
Modeling
Human Heart
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3 Software Defined Environments
Mobile Provisioning
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Ad Hoc Analytics
Workload Definition
Language
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4 Data-centric Systems
Integrated Photonics
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Active Memory
Hadoop
Graph Database
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5 Atomic and Nano-scale – Memory
Phase Change Memory
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Racetrack Memory
Atomic-scale Memory
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5 Atomic and Nano-scale – Logic
Silicon
Nanowire
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Carbon
Nanotubes
Graphene
Quantum
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Eras of Computing
Cognitive
Systems Era
Programmable
Systems Era
Tabulating
Systems Era
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Capabilities of Cognitive Systems
Cognitive
Systems Era
Watson 1.0
Watson 2.0
Watson 3.0
Memory
Learning
Judgment
Perception
Multi-modal
Reasoning
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Cognitive Computing: Watson 2.0
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Cognitive Computing Application: “Medical Sieve”
Image anomaly detection and identification
Shape
Boundary
Attenuation
 Quickly filters
irrelevant images
 Highlights diseasedepicting regions
 Multi-modal
decision support
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Cognitive Computing: Watson 3.0
Complex reasoning and interaction extends human cognition
Finance
Enhance decision support
Healthcare
Surface best protocols to practitioners
Legal
Suggest defense/prosecution arguments
Telemarketing
Next generation – persuasive – call center
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Cognitive Computing: SyNAPSE
 Neuron and synapse-like computing model
 Systems learn through analytics / experience
 Advantages: Ultra energy-efficient, flexible, learning
Learning Pong
Wiring diagram –
monkey brain
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‘True North’
Character ID
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Cognitive Computing: SyNAPSE
Neurosynaptic Supercomputer
“Brain Cube”:
 256 million “neurons”
 64 billion “synapses”
 100 watts
Human-Scale:
 100 trillion synapses
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The Human Brain Project
Detailed Brain Model; Addressing Challenges of Modern Neuroscience
 2005 – BlueBrain Project Launched
– Partnership with EPFL and IBM
– Pioneered detailed biological simulation of the brain
using a BlueGene/P (56 Tflops)
 2013 – Human Brain Project
– Wins European Union Flagship Prize (28 Jan)
– €1 billion over 10 years
– 87 Partners: IBM is lead IT partner
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The Expanding Universe of Data
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These charts and the associated remarks and comments are integrally related, and they are intended to be presented
and understood together.
In an effort to provide additional and useful information regarding the company’s financial results and other financial
information as determined by generally accepted accounting principles (GAAP), certain materials presented during this
event include non-GAAP information. The rationale for management’s use of this non-GAAP information, the
reconciliation of that information to GAAP, and other related information is included in supplemental materials entitled
“Non-GAAP Supplemental Materials” that are linked to the company’s investor relations web site at
http://www.ibm.com/investor/events/investor0213.phtml. The Non-GAAP Supplemental Materials are also included as
Attachment II to the company’s Forms 8-K dated January 22, 2013 and February 28, 2013.
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