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Microsoft’s AI for Good Initiative
Cultural Heritage
Earth
Accessibility
Humanitarian Action
Microsoft’s AI for Good Initiative
Cultural Heritage
Earth
Accessibility
Humanitarian Action
AI for Cultural Institutions
Celebrating 2 years of Open
Access at The MET
https://gen.studio
400k images released under the Open Access license
Celebrating 2 years of Open
Access at The MET
https://gen.studio
Over 5000 years of human culture
Goals
Let visitors create new
works
https://gen.studi
o
Real or
Generated?
Noise
Vector
Generator
Generated
Image
Training Data
Discriminator
Real or
Generated?
Goals
Let visitors create new
works
Azure Machine
Learning service
Build appCollaborate Release app Monitor app
ML Ops
Goals
Let visitors create new
works
Goals
Let visitors create new
works
See the collection
in new ways
Kameyama, Yuki Hare
Utagawa Hiroshige
Goals
Let visitors create new
works
See the collection
in new ways
Goals
Let visitors create new
works
See the collection
in new ways
The Bracelet
Thomas S. Cummings
Goals
Let visitors create new
works
See the collection in
new ways
Help people
explore
Intelligent Search Engine Creation
Azure SearchAzure Cognitive Services
MMLSparkAzure Databricks +
Microsoft Machine Learning for
Apache Spark
Microsoft’s Open Source
Contributions to Apache Spark
www.aka.ms/spark Azure/mmlspark
Distributed Machine
Learning
Fast Model
Deployment
Microservice
Orchestration
Multilingual Binding
Generation
v1.0-rc
Goals
Let visitors create new
works
See the collection in
new ways
Help people
explore
Demo
https://gen.studio
AI for Earth
Endangered Status Matters
Remote Camera Trapping
Which photo has a leopard?
Remote Camera Trapping
> 20,000 hours
Semi Supervised Object Detection
Bing Images
on Spark
Semi Supervised Object Detection
Bing Images
on Spark
Labelled Data
Labelled
Classification
Dataframe
Semi Supervised Object Detection
Labelled
Dataframe
MMLSpark
Deep Image
Classifier
Identifying Individual Leopards
Source: HotSpotter - Patterned Species Instance Recognition
Semi Supervised Object Detection
Model Interpretation
with LIME on Spark
Semi Supervised Object Detection
Model Interpretation
with LIME on Spark
Microsoft’s AI for Good Initiative
Cultural
Heritage Earth Accessibility
Humanitarian
Action
Seeing AI
Microsoft’s AI for Good Initiative
aka.ms/ai-for-good
$115 million
Apply for grants at
Learn More
MMLSpark aka.ms/spark
AI for Good aka.ms/ai-for-good
Azure ML aka.ms/azureml
Azure
Databricks
aka.ms/azure-
databricks
Cognitive
Services
aka.ms/cognitive-
services
Sessions
CyberML 14:40 Emerald
MLFlow 15:30 Emerald
AzureML +
MLFlow
16:40 E103
Check online for yesterdays talks on:
.NET for Spark, Data Reproducibility,
Encrypted Computation, CosmosDB

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