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AI: Myth vs. Reality
Julien Simon
@julsimon
AI Evangelist, EMEA
Myth #1 - AI is the flavour of the month
John McCarthy (1927-2011)
1956 - Coined the term “Artificial
Intelligence”
1958 - Invented LISP
1971 - Received the Turing Award
Fact #1 - AI is 60 years old
Marvin Minsky (1927-2016)
1959 - Co-founded the MIT AI Lab
1968 - Advised Kubrick on “2001: A Space Odyssey”
1969 - Received the Turing Award
• Artificial Intelligence: design software applications which
exhibit human-like behavior, e.g. speech, natural
language processing, reasoning or intuition
• Machine Learning: teach machines to learn without being
explicitly programmed
• Deep Learning: using neural networks, teach machines to
learn from data where features cannot be explicitly
expressed
Data
Computing
power
Programming
models
Algorithms
The Rise of Deep Learning
Myth #2 - AI is dark magic
aka « You’re not smart enough »
Fact #2 - AI is math, code and chips
A bit of Science, a lot of Engineering
Myth #3 – The “cognitive” unicorn
Myth #3 – The “cognitive” unicorn
Fact #3: AI is a wide range of techniques and tools
• Machine Learning
• Natural Language Processing
• Speech
• Vision
• Expert Systems
• And more
Myth #4 - AI is reserved for esoteric use cases
Fact #4: AI shines on intuitive problems
Credits: Shutterstock
Object Detection
https://github.com/precedenceguo/mx-rcnn https://github.com/zhreshold/mxnet-yolo
Object Segmentation
https://github.com/TuSimple/mx-maskrcnn
Text Detection and Recognition
https://github.com/Bartzi/stn-ocr
Real-Time Pose Estimation
https://github.com/dragonfly90/mxnet_Realtime_Multi-Person_Pose_Estimation
Myth #5 - AI is not production-ready
Fact #5: AI means business
Jeff Bezos’ letter to Amazon shareholders
“We are solving problems with machine learning and
artificial intelligence that were in the realm of science fiction
for the last several decades. Natural language
understanding, machine vision problems, it really is an
amazing renaissance.”https://www.geekwire.com/2017/jeff-bezos-explains-amazons-artificial-intelligence-machine-learning-strategy/
https://www.forbes.com/sites/aarontilley/2017/04/18/the-great-ai-recruitment-war-amazon-is-on-top-and-apple-is-almost-
nowhere-to-be-seen/
25,000 skills
Selected customers running AI on AWS
https://aws.amazon.com/solutions/case-studies/cspan/
http://www.marinusanalytics.com/articles/2017/10/17/amazon-rekognition-helps-marinus-analytics-fight-human-trafficking
https://news.developer.nvidia.com/expedia-ranking-hotel-images-with-deep-learning/
• Expedia have over 10M images from
300,000 hotels
• Using great images boosts conversion
• Using Keras and EC2 GPU instances,
they fine-tuned a pre-trained Convolutional
Neural Network using 100,000 images
• Hotel descriptions now automatically feature the
best available images
• 17,000 images from Instagram
• 7 brands
• Deep Learning model pre-trained on
ImageNet
• Fine-tuning with TensorFlow and EC2 GPU
instances
• Additional work on color extraction
https://technology.condenast.com/story/handbag-brand-and-color-detection
https://www.washingtonpost.com/pr/wp/2017/06/09/the-washington-post-to-start-
experimenting-with-audio-articles-using-amazon-polly/
https://www.oreilly.com/ideas/self-driving-trucks-enter-the-fast-lane-using-deep-learning
Last June, tuSimple drove an autonomous
truck
for 200 miles from Yuma, AZ to San Diego,
As soon as 2018, Alexa will be your companion in
BMWs
https://techcrunch.com/2017/09/27/bmw-to-bring-alexa-to-its-cars-starting-in-2018/
Infrastructure CPU
Engines MXNet TensorFlow Caffe Theano Pytorch CNTK
Services
Amazon Polly
Chat
Platforms
IoT
Speech
Amazon Lex
Mobile
mazon AI: Artificial Intelligence In The Hands Of Every Develope
Amazon
ML
Spark &
EMR
Kinesis Batch ECS
GPU
Amazon Rekognition
Vision
FPGA
2010
61
516
1,017
159
2012 2014 2016
AWS Pace of Innovation
http://reinvent.awsevents.com
Resources
https://aws.amazon.com/ai/
https://aws.amazon.com/blogs/ai/
https://mxnet.incubator.apache.org/
https://medium.com/@julsimon/
Thank you!
Julien Simon
@julsimon
https://aws.amazon.com/evangelists/julien-simon

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AI: Myth vs Reality (November 2017)

Notes de l'éditeur

  1. Amazon Echo is a hands-free speaker you control with your voice. Echo connects to the Alexa Voice Service to play music, make calls, send and receive messages, provide information, news, sports scores, weather, and more—instantly. All you have to do is ask.
  2. Amazon Go is a new kind of store featuring the world's most advanced shopping technology. No lines, no checkout – just grab and go! %insert your experience with Amazon go here%
  3. Amazon Prime air is a delivery system from Amazon designed to safely get packages to customers in 30 minutes or less using unmanned aerial vehicles, also called drones. Prime Air has great potential to enhance the services we already provide to millions of customers by providing rapid parcel delivery that will also increase the overall safety and efficiency of the transportation system.
  4. Using AWS, C-SPAN can sample a frame every six seconds for recognition against indexed faces in a database of 97,000 people. Previously, this was done manually: Indexers scrolled through screen captures to identify who was speaking at any given point and select an image to represent each individual in each video. C-SPAN expects to save 8,000 to 9,000 hours a year in labor by automating that process using Rekognition, and will be able to index 100% of its incoming footage and archives.
  5. duolingo story
  6. XXX more precise articles on Medium