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雲端推動的人工智能革命
1.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. 費良宏 Principal Evangelist @ Amazon Web Services lianghon@amazon.com 雲端推動的人工智能革命
2.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Quick look at Machine Learning in past year The MINERvA neutrino detector at Fermi National Accelerator Laboratory Visualizing AI detections on the map Handbag Brand and Color Detection at Condé Nast Amazon Go, sensor-infused store Spot a Silent Cancer Self-driving car
3.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. “AI Winter Is Well On Its Way” ? Source: blog.piekniewski.info/2018/05/28/ai-winter-is-well-on-its-way/
4.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. A Long History of ML at Amazon Personalized recommendations Inventing entirely new customer experiences Fulfillment automation and inventory management Drones Voice driven interactions
5.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. amazon.com, 1995 IEEE internet Computing, 2017
6.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved.
7.
8.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved.
9.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved.
10.
© 2017, Amazon
Web Services, Inc. or its Affiliates. All rights reserved.
11.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved.
12.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Put machine learning in the hands of every developer and data scientist ML @ AWS: Our mission
13.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. The Amazon ML Stack Platform Services Application Services Frameworks & Interfaces Caffe2 CNTK Apache MXNet PyTorch TensorFlow Torch Keras Gluon AWS Deep Learning AMIs Amazon SageMaker AWS DeepLens Rekognition Transcribe Translate Polly Comprehend Lex
14.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Platforms & Frameworks
15.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Bottom Layer: Frameworks & Interfaces NVIDIA Tesla V100 GPUs P3 AWS Deep Learning AMI 5,120 tensor cores 128 GB of memory 1 petaflop of compute NVLink 2.0 ~14X faster than P2
16.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Deep Learning Frameworks Outlook TensorFlow • Dynamic computational graph (eager execution) • Publish & discovery model (TensorFlow Hub) • More languages (TensorFlow.js, TensorFlow for Swift) • Lightweight, cross-device solution (TensorFlow Lite) • More hardware support (Integration with TensorRT, MKL-DNN and TPU) • Bayesian analysis (TensorFlow Probability) … Apache MXNet/Gluon • MXNet 1.2.0 released • Adds support for Keras 2 • Deep learning for NLP (GluonNLP) • Computer vision Toolkit (Gluon CV Toolkit) • The book of ”Deep Learning - The Straight Dope” is coming soon … PyTorch • Caffe2 merges with Pytorch • PyTorch 1.0 , the milestone release • exporting to C++-only runtimes • optimizing mobile systems on iPhone, Android, Qualcomm etc. • quantized inference (such as 8-bit inference) • JIT-Compiler for models (torch.jit) • Not making any big changes to the existing API
17.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. AWS Deep Learning AMIs Support for deep learning frameworks Accelerate model training Conda AMI For developers who want pre- installed pip packages of deep learning frameworks in separate virtual environments. Available in in Ubuntu and Amazon Linux and Windows 2016 versions. Base AMI For developers who want a clean slate to set up private deep learning engine repositories or custom builds of deep learning engines. Available in Ubuntu and Amazon Linux versions. AMI with source code For developers who want preinstalled deep learning frameworks and their source code in a shared Python environment, available for P3 instances in CUDA 9 Ubuntu and Amazon Linux versions.
18.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. ML is still too complicated for everyday developers Collect and prepare training data Choose and optimize your ML algorithm Set up and manage environments for training Train and tune model (trial and error) Deploy model in production Scale and manage the production environment
19.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Amazon SageMaker Collect and prepare training data Choose and optimize your ML algorithm Set up and manage environments for training Train and tune model (trial and error) Deploy model in production Scale and manage the production environment Easily build, train, and deploy machine learning models
20.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Amazon SageMaker Pre-built notebooks for common problems K-Means Clustering Principal Component Analysis Neural Topic Modelling Factorization Machines Linear Learner - Regression XGBoost Latent Dirichlet Allocation Image Classification Seq2Seq Linear Learner - Classification ALGORITHMS Apache MXNet TensorFlow Caffe2, CNTK, PyTorch, Torch FRAMEWORKS Set up and manage environments for training Train and tune model (trial and error) Deploy model in production Scale and manage the production environment Built-in, high- performance algorithms Build
21.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Amazon SageMaker Pre-built notebooks for common problems Built-in, high- performance algorithms One-click training Hyperparameter optimization Build Train Deploy model in production Scale and manage the production environment
22.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Amazon SageMaker Fully managed hosting with auto- scaling One-click deployment Pre-built notebooks for common problems Built-in, high- performance algorithms One-click training Hyperparameter optimization Build Train Deploy
23.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Model hosting (SM) Real-time Fraud Detection in AWS with Amazon SageMaker Calculate features Reader Cleanser Processor Data Look-up Training Feature store Model training (SM) Model Client service
24.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. AWS DeepLens HD video camera Custom-designed deep learning inference engine Micro-SD Mini-HDMI USB USB Reset Audio out Power HD video camera with on-board compute optimized for deep learning Tutorials, examples, demos, and pre- built models From unboxing to first inference in <10 minutes Integrates with Amazon SageMaker and AWS Lambda 10 MIN The world’s first deep learning-enabled video camera for developers
25.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Get Started with Deep Learning B u i l d c u s t o m d e e p - l e a r n i n g m o d e l s i n t h e c l o u d u s i n g A m a z o n S a g e M a k e r , o r u s e t h e c o l l e c t i o n o f p r e t r a i n e d m o d e l s i n c l u d e d w i t h A W S D e e p L e n s It takes less than 10 minutes with AWS DeepLens
26.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. AWS Machine Learning Languages Services
27.
© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Powerful language capabilities Amazon Transcribe Automatic conversion of speech into accurate, grammatically correct text Amazon Translate Natural and fluent language translation Amazon Polly Turn text into lifelike speech using deep learning Amazon Comprehend Discover insights and relationships in text Amazon Lex Conversational interfaces for text-based and voice-based applications
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Benefits of ML Language Services • Easily add intelligence to apps with pre-trained APIs for speech, transcription, translation, language analysis, and chatbot functionality • Connect to comprehensive analytics including data warehousing, business intelligence, batch processing, stream processing, and workflow orchestration • Integrate with the most complete big data platform including the data lake and database tools to run machine learning workloads
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Common Language Use Cases Information Bots Education Accessibility Knowledge Management Voice of Customer Applications Customer Service/ Call Centers Enterprise Digital Assistant Semantic Search Captioning Workflows LocalizationPersonalization
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Amazon Comprehend Discover insights and relationships in text using deep learning Entities Key Phrases Language Sentiment Amazon Comprehend
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Amazon Comprehend Storm World Series Stock market Washington Library of news articles Amazon Comprehend Discover insights and relationships in text using deep learning
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Amazon Transcribe Automatic conversion of speech into accurate, grammatically correct text Support for telephony audio Timestamp generation Intelligent punctuation and formatting Recognize multiple speakers Custom vocabulary Multiple languages
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Amazon Translate Natural and fluent language translation Real-time translation Batch analysis Automatic language recognition Low cost
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Amazon Polly Turn text into lifelike speech using deep learning Wide selection of voices and languages Synchronize speech Fine-grained control Unlimited replay
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Amazon Lex Building conversational interfaces into any application using voice and text Integrated development in the AWS console Trigger Lambda functions Multi-step conversations One-click deployment Enterprise connectors Fully managed
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. AWS Lambda Amazon S3 Amazon Athena Integrating Speech, Translation, and NLP + AWS Audio Input Amazon QuickSight Amazon Comprehend Amazon Transcribe Amazon Translate
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Lex Use Case: Digital Assistant to Book a Hotel Book hotel Taipei “Book a hotel in Taipei” Automatic speech recognition Hotel booking Taipei Natural language understanding Intent/slot model UtterancesHotel booking City Taipei Check in November 30 Check out December 2 “Your hotel is booked for November 30.” Amazon Polly Confirmation: “Your hotel is booked for November 30.” “Can I go ahead with the booking?” a in
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. “Building intelligent applications to help customers drive their businesses is our entire focus. Amazon Comprehend allows us to analyze unstructured text within search, chat, and documents to understand intent and sentiment. This capability enables us to train our Coleman AI skillset, and also provide a truly focused and tailored search experience for our customers.” Manjunath Ganimasty, V.P. Software Development with Infor “Through Amazon Lex, we're adding sophisticated natural language processing capabilities that help GrowthBot provide a more intuitive UI for our users. Amazon Lex lets us take advantage of advanced AI and machine learning without having to code the algorithms ourselves” Dharmesh Shah, HubSpot CTO and Founder “At Isentia, we built our media intelligence software in a single language. Having tried multiple Machine Translation services in the past, we are impressed with how easy it is to integrate Amazon Translate into our pipeline and its ability to scale to handle any volume we throw at it. The translations also came out more accurate and nuanced and met our high standards for clients.” Andrea Walsh - CIO, Isentia AWS ML Language Services Customers “I can't think of many use cases where accurate pronunciation is more important than when you're learning a new language. We have found that the Amazon Polly voices are not just high in quality, but are as good as natural human speech for teaching a language.” Severin Hacker, CTO, Duolingo “RingDNA is an end-to-end communications platform for sales teams. A critical component of RingDNA’s Conversation AI requires best of breed speech-to-text to deliver transcriptions of every phone call. RingDNA is excited about Amazon Transcribe since it provides high-quality speech recognition at scale, helping us to better transcribe every call to text.” Howard Brown – CEO & Founder, RingDNA
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. AWS Machine Learning Computer Vision Services
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Amazon Rekognition Fully managed service Easy-to-use API Low costImage analysis Video analysis Easy-to-use deep learning-based computer vision analysis
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Amazon Rekognition Image Object and Scene Detection Facial Analysis Face Recognition Text in Image Unsafe Image Detection Celebrity Recognition Detect objects, scenes, and faces, extract text, recognize celebrities, and identify unsafe content in images Face Comparison
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Video Analysis Limitations of traditional solutions Temporal information lost Motion context lost
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Amazon Rekognition Video Media and entertainment Create metadata for celebrities, emotions, key topics in video with time segments for recommendation engines and ad placement Automatically detect unsafe content, based on market requirements Extract data in streaming mode to enhance user engagement
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Amazon Rekognition Video Use case: Video search index Video Amazon S3 AWS Lambda Amazon Rekognition Video Amazon Elasticsearch Amazon DynamoDB 1. Video is uploaded and stored to S3 2. Amazon Rekognition Video creates metadata for celebrities, emotions, key topics in video with time segments for search 4. Lambda also pushes the metadata and confidence scores into Elasticsearch 3. The output is persisted as metadata into DynamoDB to ensure durability
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Amazon Rekognition Video Public safety Recognize a person of interest across a collection of millions in real time across hundreds of cameras Track a person of interest across a video Create alerts by detecting objects and activities of interest, such as car, license plate, running, etc.
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Amazon Rekognition Video Use case: Public safety immediate response Live Street Camera Amazon Kinesis Video Streams Amazon Rekognition Video Face collection 1. Camera-captured video streams are processed by Kinesis Video Streams 2. Amazon Rekognition Video analyses the video and searches faces on screen against a collection of millions of faces User 3. User is notified in case of face matches Amazon SNS AWS Lambda Amazon Kinesis Streams
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved.
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved.
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved.
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Face Search — Public Safety
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Face Search—Media and Entertainment A u t o m a t i n g F o o t a g e T a g g i n g w i t h A m a z o n R e k o g n i t i o n Indexed 99,000 people Saves ~9,000 hours a year in labor
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Amazon Rekognition Customers
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Why AI ? Why AWS ?
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Customers running machine learning on AWS today
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Artificial Intelligence Object store Database Datawarehouse Stream analysis Business Intelligence Hadoop Spark/Presto Elasticsearch AI-Driven “Flywheel” model Click stream User activity UGC Purchas click Preference Sensor data More data Better Analytics Better Product More users
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Algorithm DataCloud GPUs & Computation resource Today is a new AI age
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. The trends AI will nourish 1. AI will proliferate natural, contextual human-computing interfaces. 2. AI will power smart IoT and fluid application integration. 3. Computing ecosystems will interconnect AI-enabled software. "The enterprise that does not innovate inevitably ages and declines. And in a period of rapid change such as the present ... the decline will be fast." — Peter F. Drucker
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved.
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© 2018, Amazon
Web Services, Inc. or its affiliates. All rights reserved. 謝謝!
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