Machine Learning: The Past, Present and Future of Artificial Intelligence

Slides with GIF: http://bit.ly/2AwvmaT

This deck was presented at Google's DevFest Gandhinagar 2018 and contents the following topics:

What is Machine Learning (ML)?
How is ML different from traditional programming?
What is the difference between ML, DL, and AI?
The detailed history of Artificial Intelligence
Under the hood: ML with Pizza (experiment)
Introduction to Machine Learning APIs like Vision, NLU and Speech

Transcript

1. Charmi Chokshi, Ahmedabad University @charmichokshi Gandhinagar Machine Learning The Past, Present, and Future of AI
2. Session Outline Gandhinagar 1 What is Machine Learning (ML)? How is ML different from traditional programming? 2 3 Under the hood: ML with Pizza What is the difference between ML, DL, and AI? The history of Artificial Intelligence 4 Introduction to Machine Learning APIs
4. Let’s try some human-powered image detection Gandhinagar
5. How would we classify these images? Gandhinagar
6. So, what about this? Gandhinagar
7. And now…? Gandhinagar
8. Traditional Programming vs ML Gandhinagar Explicit instructions from programmer Improvements come from better algorithms System learns patterns from data Improvements may also come from additional data Traditional Programming Machine Learning
9. What is Machine Learning? Gandhinagar Collect Data Define Objective Train and Test Model Predict Focus on User
11. AI vs ML vs DL Artificial Intelligence Deep Learning Machine Learning Any Technique that enables computers to mimic human intelligence & behaviour A subset of ML exposing multilayered neural networks to vast amount of data A subset of AI that includes statistical techniques to solve the tasks using experience
12. Let’s travel back in time... Gandhinagar
14. 1943 A Logical Calculus of the Ideas Immanent in Nervous Activity Warren S. McCulloch and Walter H. Pitts published ground- breaking paper. It quickly became the foundational work in the study of artificial neural networks. Gandhinagar
15. Gandhinagar 1950 Turing Test Computer scientist Alan Turing proposes a test for machine intelligence. If a machine can trick humans into thinking it is human, then it has intelligence.
16. 1956 A.I. Born Term ‘Artificial Intelligence’ is coined by computer scientist, John McCarthy to describe “the science and engineering of making intelligent machines.” After that in 1958, Rosenblatt proposed a simple neuron that is used to classify its input onto 1 or 2 categories. Gandhinagar
17. 1962 Unimation First industrial robot company, Unimation founded. The robot goes to work at GM replacing humans on the assembly line. Gandhinagar
18. 1964-66 Eliza It is an early natural language processing interactive computer program that carries a dialogue in English on any topic. Pionarring chatbot developed by Joseph Weizenbaum at MIT holds conversations with humans. Gandhinagar
19. 1974 Backpropagation Paul J. Werbos, a scientist best known for his Harvard University Ph.D. thesis, which first described the process of training artificial neural networks through backpropagation of errors. Gandhinagar
20. 1997 Deep Blue A chess playing computer from IBM defeats world chess champion Garry Kasparov. Several Machine Learning algorithms namely, Decision Tree, Random Forest, Support Vector Machine, RNN, LSTM have been introduced in late 20th century. Gandhinagar
21. 2011 Siri, Watson Apple integrates Siri, an intelligent virtual assistant with a voice interface, into the iphone 4S. IBM’s question answering computer Watson wins first place on popular $1M prize television quiz show Jeopardy. Gandhinagar
22. 2014 Eugene, Alexa Eugene Goostman, a chatbot passes the Turing Test with a third of judges believing Eugene a human. Amazon launches Alexa, an intelligent virtual assistant with a voice interface that completes shopping. Proposal of a new framework, Generative Adversarial Networks by Ian Goodfellow & team Gandhinagar
23. 2017 AlphaGo, Google Lens, Actions on Google... Google’s AI based AlphaGo beats world champion Ke Jie in the complex board game of Go, notable for its vast number (2170) of possible positions. Data become the new oil Google Lens which can understand what you are looking at Cloud ML, a suite of ML products Actions of Google Launch of Gmail’s auto-reply Gandhinagar
24. Under the hood: ML with Pizza Gandhinagar
25. Learning Objective By the end of the session, you will have run a machine learning experiment to classify foods as pizza or not pizza Gandhinagar Not-Pizza Pizza
26. Pair Work: Run an ML Experiment 1. Find a partner 2. Go to https://sliceofml.withgoogle.com/ 3. Click "Let’s do this” Gandhinagar
27. Set Goal Split Data Train Model Results Run an ML Experiment Steps to follow Test Model Gandhinagar
28. Set an Accuracy Goal Gandhinagar
29. Divide data into train and test Gandhinagar
30. How does the Decision Tree work? Gandhinagar
31. Refine the experiment to get your model's training and testing accuracy to be 90% or more Gandhinagar 1 2 3 Set Goal Split Data Train Model 4 Test Model
32. Tweak the model: Run More Experiments Gandhinagar 1 2 3 Set Goal Split Data 4 Test Model Results 5 Train Model
33. Tweak the model: Run More Experiments Gandhinagar 1 2 3 Set Goal Split Data 4 Test Model Results 5 Train Model
34. Tweak the model: Run More Experiments Gandhinagar 1 2 3 Set Goal Split Data Train Model 4 Test Model Results 5
35. Perfect! Gandhinagar
37. What about photos of everything? Gandhinagar
38. What about other types of unstructured data? Video, audio, text... Gandhinagar
39. Two ways Google can help us! Gandhinagar
41. What is the Google Vision API? Gandhinagar
42. Vision API Complex image detection with a simple REST request The Cloud Vision API gives you contextual data on your images by leveraging Google’s vast network of machine learning expertise with a single API request. It uses a pre-trained model trained on a large dataset of images, similar to the models used to power Google Photos. Gandhinagar
44. Vision API: cloud.google.com/vision/ Gandhinagar
45. "landmarkAnnotations": [ { "mid": "/m/04x4w7", "description": "25 de Abril Bridge", "score": 0.87690926, "boundingPoly": { "vertices": [ { "x": 87, "y": 138 }, ... ] }, "locations": [ { "latLng": { "latitude": 38.693791, "longitude": -9.177360534667969 } } ] } ]
46. "webEntities": [ { "entityId": "/m/04x4w7", "description": "25 de Abril Bridge" }, { "entityId": "/m/0gnqtl", "description": "Christ the King" }, { "entityId": "/m/02snjn", "description": "University of Lisbon" }, ... ]
47. "fullMatchingImages": [ { "url": "http://travelanddance.be/onewebmedia/55%20lisbon.jpg" }, ... ], "visuallySimilarImages": [ { "url": "http://2.bp.blogspot.com/-3QFcsa0kJFE/TjLxF5MgbHI/AAAAAAAADZE/mp6gmJbmZDo/s400 /puente+25.jpg" }, ... ], "pagesWithMatchingImages": [ { "url": "https://www.youtube.com/watch?v=OJirc431z2Y" }, ... ]
49. Natural Language Understanding API: cloud.google.com/natural-language/
50. Speech API: cloud.google.com/speech/
51. This is just a Beginning ! We will have an AI Doctor Our Boss will be a Bot Robots will beat us at Sports News will not be written by Humans, Poems too! We will live as Chatbots after we Die The day is not so far when there will be all Robot Speakers at DevFest Gandhinagar !? Gandhinagar
52. 52 AI could be the reason why we've never met Aliens Elon Musk described AI as an “existential threat” to humanity, meaning that it could erase mankind from the universe entirely
54. “AI is one of the most important things humanity is working on. It is more profound than, I dunno, electricity or fire” - Sundar Pichai
55. Q&A Comments Suggestions Gandhinagar
56. Charmi Chokshi charmichokshi Gandhinagar Thank you!