smart data slides: modern ai and cognitive computing - boundaries and opportunities
TRANSCRIPT
#ModernAI and Cognitive ComputingBoundaries and Opportunities
Adrian Bowles, PhDFounder, STORM Insights, Inc.
Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.
JANUARY 12, 2017
#ModernAICognitive ComputingTrendsTechnology & Market Maturity
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AGENDA
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#MODERNAI
Conventional AI
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#ModernAI
Conventional AI
PERCEPTION
UNDERSTANDING
LEARNINGPLANNING
MOTIVATION PROBLEM-SOLVING
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#ModernAI
Conventional AI
PERCEPTION
UNDERSTANDING
LEARNINGPLANNING
Hardware
Software
Mimic Model
MOTIVATION PROBLEM-SOLVING
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#ModernAI
Conventional AI
Machine Learning
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#ModernAI
Conventional AI
Machine* Learning
SUPERVISED
UNSUPERVISED
REINFORCEMENT
DEEP
*April 13 Webinar: Machine Learning: Moving Beyond Discovery to Understanding
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#ModernAI
Conventional AI
Machine Learning
Big Data
STREAMING
COMPLEX
YUGE
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#ModernAI
Conventional AI
Machine Learning
Big Data
Hardware
Software
NeuromorphicTPUsNPUsGPUs
Mimic
GPUs
?
Model
HTM MBR
Neural Nets
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THE #MODERNAI HARDWARE MARKET IS REAL
FacebookFAIR
NVIDIA
GoogleTPU
IBMTrueNorthQualcomm
NPU
NeuromorphicGPU/
Memory AccelerationReady Now
Much More in the PipelinePromising -
Ready Now At Handset Level
Proven approach for ||ism Easy interoperability with conventional systems
+Natural behavioral process model +Lower power requirements- Requires new software model & skills
NvidiaIntelAMD
Facebook (FAIR)
Nervana Systems/IntelMovidius - Intel (Vision processing)Google TPU
IBMQualcomm
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A FRAMEWORK FOR COGNITIVE COMPUTING
Motivation
reflection
inference
Natural Cognitive Processes
deduction
reasoning
Learning
Perception
Foundation
Experience-Based
LearningLearn
Interact
ExpandIntegrate
Augmented/Virtual Reality
Confidence-weighted Reporting
Hypothesis Generation & Testing
Natural Language Processing
Cloud
…Analytics
Data Management
Neur
omor
phic
Arch
itect
ures
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Hearing (audioception) ~12,000 outer hair cells/ear
~3,500 inner hair cells
Vision (ophthalmoception) Photoreceptors - Per Eye~120,000,000 rod cells
(triggered by single photon)~6,000,000 cone cells
(require more photons to trigger)~ 60,000 photosensitive ganglion cells
Touch (tactioception) Thermoreceptors, mechanoreceptors, chemoreceptors and nociceptors for touch, pressure, pain, temperature, vibration
Smell (olfacoception) Chemoreception
Taste (gustaoception) Chemoreception
Human Cognition~100,000,000,000 (100B) Neurons
~100-500,000,000,000,000 (100-500T) Synapses
NEUROSYNAPTIC PROBLEM SOLVING SCOPE: PERCEPTION VS COGNITION
Learn
ModelReason
Understand
Plan
Model
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COGNITIVE COMPUTING FUNDAMENTALS
Model
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COGNITIVE COMPUTING FUNDAMENTALS
A Model is an Abstract Representation of Reality
Model
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ModelThe Corpus, Assumptions, Algorithms
Used to Generate & Score Hypotheses
or Calculate Associative Distance
COGNITIVE COMPUTING FUNDAMENTALS
Model
Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.
ModelThe Corpus, Assumptions, Algorithms
Used to Generate & Score Hypotheses
or Calculate Associative Distance
CorpusThe complete machine-readable record of a domain.
Associative DistanceA metric for the similarity of two items based on their relative locations in n-space according to an algorithm.
AssumptionsImplicit or explicit data or relationships held to be valid.HypothesisAn evidence-based testable assertion that explains a phenomenon or relationship.
COGNITIVE COMPUTING FUNDAMENTALS
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PROXIMITY/DISTANCE ALGORITHMS
Mapped with vectors, proximity algorithm based on purpose.
Mapping for autocorrect/complete vs Mapping for meaning
BoyBay
Map
Mop
Man
Nay May
MopeBuy
Hop Hope
BoyBay
Map
Mop
Man
Nay
May
Mope
BuyHop
HopeSimilar structure -> similar meaning in vision, not always in language.
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PREDICTIVE ANALYTICS: RELATED CONCEPTS
The use of statistical algorithms and a set of assumptions - the model - to identify the likelihood of future outcomes or missing values based on patterns in historical data.
Linear regressionLogistic regression (categorical dependent variable)
Time-series analysisClassification treesDecision trees…
HistoricalData
PredictedData
Assumptions
Learn
Understand
Model
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COGNITIVE COMPUTING FUNDAMENTALS
Learn
Understand
Model
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UnderstandAwareness of the meaning of data.
LearnTo acquire understanding of data.
COGNITIVE COMPUTING FUNDAMENTALS
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THE LINGERING QUESTION: WHAT IS UNDERSTANDING?
Sentiment/Emotion/Theme/Concept Analysis
Don’t let the search for perfection interfere with the path to progress.
MULTI-DIMENSIONAL UNDERSTANDING
Source: IBM Bluemix
Learn
Plan Reason
Understand
Model
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UnderstandAwareness of the meaning of data.
LearnTo acquire understanding of data.
Plan (v)Identify a goal/desired state and a set of steps/activities to reach that state.
Reason (v)An evidence-based process for determining the truth or probability of a conclusion.
ReasoningDeductive Inductive Abductive…
COGNITIVE COMPUTING FUNDAMENTALS
Learn
Plan Reason
Understand
Model
Data MgmtCopyright (c) 2017 by STORM Insights Inc. All Rights Reserved.
COGNITIVE COMPUTING FUNDAMENTALS
Systems
Controls
Learn
Plan Reason
Understand
Model
Data Mgmt
Human
Machine
Input Output
Sensors (IOT)
SystemsControls
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COGNITIVE SYSTEMS: COMMUNICATIONS & CONTROL
Systems
Controls
Learn
Plan Reason
Understand
Model
Data Mgmt
Human
Machine
Input Output
Gestures
Emotions
Language
Narrative Generation
Visualization
Reports
Haptics
Sensors (IOT)
SystemsControls
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COGNITIVE SYSTEMS: COMMUNICATIONS & CONTROL
Perc
eptio
n
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KEY TRENDS
Open Source and MLML as a ServicePerception as a Service
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KEY TREND: OPEN SOURCE ML
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MACHINE LEARNING AS A SERVICE
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MACHINE LEARNING & PERCEPTION AS A SERVICE
Source: IBM BlueMix
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KEY TREND: PERCEPTION AS A SERVICE
Source: Affectiva
Affectiva: Emotion DetectionAnger Sadness Disgust Joy Surprise Fear Contempt
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#MODERNAI MATURITY TRENDS
Maturity BigDataManagement
MachineLearning Perception Motivation
4
3
2
1
0
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COGNITIVE COMPUTING MATURITY TRENDS
Maturity Understanding Learning Reasoning Planning
4
3
2
1
0
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THEY’RE HERE. WHERE DO WE GO NEXT?
Alexa, who’s smarter, you or Siri?
Alexa, how old is Dan Rather?
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FOR MORE INFORMATION
Twitter @ajbowles Skype ajbowles
Upcoming 2017 Webinar Dates & Topics
February 9 Artificial General Intelligence - When I Can I Get It? March 9 Data Science and Business Analysis: A Look at Best Practices for Roles, Skills, and Processes April 13 Machine Learning - Moving Beyond Discovery to Understanding