Artificial Intelligence. Machine Learning. And Mobile? Yup. Every major technology company and a host of not so major ones are doing things with AI. With cheap, plentiful computing power and a growing number of open source and commercial offerings, applications that used to be the stuff of science fiction are available today from your desktop, phone, and watch. Let’s talk about what’s happening and how it affects how we think about mobile development.

1. AI and Mobile
(or Smarter Phones)
Stephen Vance
Mobile Tea
June 27, 2017

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4. What are AI and ML?
• Artificial Intelligence, Machine Learning, and “Big Data”
• Techniques, Data, Features
• Linear Algebra, Probability, Information Theory, Numerical Methods,
Optimization, Curve Fitting, Neural Networks, etc.
• Learning, Models, Predictions
• Unsupervised, Supervised
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5. AI Applications
• Optical Character Recognition (no longer)
• Speech recognition (becoming commonplace)
• Machine vision (still novelty)
• Purchase prediction
• Traffic routing
• Medical diagnosis and public health
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6. ML PaaS and OSS
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7. Mobile ML Toolkits
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8. Mobile ML Architectures
Feature
Extraction
Training
Characterization
Anomaly
Detection
Models
Streaming Data
Data Lake
Server
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9. Mobile ML Architectures
Feature
Extraction
Training
Characterization
Anomaly
Detection
Models
Streaming Data
Data Lake
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10. 10
https://www.mabl.com
To Be On The Waitlist For Deeper Involvement
Talk to Me

11. Contact Me
Stephen Vance
http://www.vance.com
steve@vance.com
@StephenRVance
srvance on GitHub and LinkedIn
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12. References
• Actions on Google: https://developers.google.com/actions
• Amazon Alexa: https://developer.amazon.com/alexa
• Amazon Machine Learning: https://aws.amazon.com/machine-learning/
• Apple CoreML: https://developer.apple.com/documentation/coreml
• Apple SiriKit: https://developer.apple.com/sirikit/
• Deep Learning: http://www.deeplearningbook.org/
• Facebook Caffe2: https://caffe2.ai/
• Google Cloud Machine Learning: https://cloud.google.com/ml-engine
• IBM Watson: https://www.ibm.com/watson/
• MathWorks Machine Learning: https://www.mathworks.com/machinelearning
• Microsoft Azure Machine Learning: https://azure.microsoft.com/en-us/services/
machine-learning
• TensorFlow: https://www.tensorflow.org/
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