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AI and Mobile:
Power in Your Pocket
Stephen Vance

Mobile Tea

January 30, 2018
2
3
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
4
AI Applications
• Optical Character Recognition (no longer)

• Speech recognition (mainstream)

• Machine vision (becoming commonplace)

• Purchase prediction

• Traffic routing

• Medical diagnosis and public health
5
ML PaaS and OSS
6
Mobile ML Toolkits
7
Mobile ML Architectures
Feature
Extraction
Training
Characterization
Anomaly
Detection
Models
Streaming Data
Data Lake
Server
8
Mobile ML Architectures
Feature
Extraction
Training
Characterization
Anomaly
Detection
Models
Streaming Data
Data Lake
9
Social Challenges
• Data bias

• Historical data sets

• Balanced representation

• Unquestioning use

• Not just “Can we?”

• But “Should we?”

• Privacy
10
Algorithmic
Justice League
11
https://www.mabl.com
To Be On The Waitlist For Deeper Involvement
Talk to Me
Contact Me
Stephen Vance
http://www.vance.com
steve@vance.com
@StephenRVance
srvance on GitHub and LinkedIn
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/machine-learning/

• 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 Lite: https://www.tensorflow.org/mobile/tflite/
13

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Ai and mobile - Power in Your Pocket