A walk through Machine Learning Conference held at Toronto

Oct 27, 2016

On Thursday October 27 2016, the University of Toronto's Rotman School hosted the second annual AI conference, "Machine Learning and the Market for Intelligence."

The focus was on the business opportunities and economic implications arising from the recent advances in AI.

I am writing this post to share with you great insights I heard from pioneers in Machine Learning. It was a privilege to see Geoff Hinton, Rich Sutton, Yoshua Bengio, Ruslan Salakhutdinov, Steve Jurvetson and other experts on stage.Section #12 is my favorite

1
Machine Intelligence - The Final Frontier?

Thanks to @Cmdr_Hadfield + @NavdeepSBains for the great kick-off to #mkt4intel pic.twitter.com/kjKOc5Htep
— Rotman School (@rotmanschool) October 27, 2016

With intelligence, out species has thrived. How can we shape the use of super intelligence to our benefit @Cmdr_Hadfield #mkt4intel pic.twitter.com/W8Xs4hGxvy
— michael serbinis (@mserbinis) October 27, 2016
2
The Economics of AI – Prediction and Judgement

"Machine intelligence is a compliment to human judgement. Human judgement will become more valuable" - Prof. Ajay Agrawal

AI is a massive drop in a fundamental input cost of production - prediction. Ajay Agrawal sets out economic implications of AI #mkt4intel pic.twitter.com/EcU5uXRi82
— daniel debow (@ddebow) October 27, 2016
3
AI Landscape

Shivon Zilis Shares a sneak-peek ML "Big Picture" for 2016 @creativedlab @rotmanschool @UofT #mkt4intel #ml @shivon pic.twitter.com/UiAqbfI2ec
— Ken Nickerson (@kcnickerson) October 27, 2016

Haven't seen this AI landscape before?
Download it here
4
New Applications of AI

What to expect as AI accelerates says @sgourley #mkt4intel pic.twitter.com/P3OkZ6Y0jN
— Ravi Mattu (@ravmattu) October 27, 2016

Squad goals from @sgourley #mkt4intel pic.twitter.com/ryfhcAel4s
— Jack Clark (@jackclarkSF) October 27, 2016

"Machines don't need to replicate human behaviour they just need to beat us in one variable" -Sean Gourley #mkt4intel #yyz #machinelearning pic.twitter.com/ZXwoJYg20F
— Kylie Lakevold (@kylielakevold) October 27, 2016
5
Integrating AI Acquisitions

CEO of Otto, which was acquired for 680 million dollars spoke about the unique acquisition structure and revenue model

So proud of our team for making history today, completing the world’s first shipment by a self-driving truck,... https://t.co/XKMgzA0Z7P
— Lior Ron (@lioron) October 25, 2016

Richard Socher, chief Scientist noted that it is not easy to fund advanced research for a longer term in a startup. He mentioned that Salesforce benefits from access to data and strong distribution channels

@RichardSocher introducing @salesforce #Research which will work to contribute more broadly to the #AI field pic.twitter.com/31AD0jnpt3
— William Roller (@WRoller91) October 6, 2016

#mkt4intel @tjpoutanen on layer6.ai and real time recommendations pic.twitter.com/cX33HrUj1Y
— Rahel Jhirad (@RahelJhirad) October 27, 2016

Just in case you haven't heard of Salesforce Einstien, check out this video
6
Introducing Next AI

If you are seeking mentiorship,funding for your AI startup, check this incubator

#mkt4intel https://t.co/VqACmCet3M Canada's global innovation hub and venture faculty $s leaders advice pic.twitter.com/lw3PlstUIr
— Rahel Jhirad (@RahelJhirad) October 27, 2016
7
AI and Healthcare

Brendan Frey, Founder of Deep Genomics described the opportunity for AI in Human Diagnostics. He hinted that AI will be a assistive technology.

How artificial intelligence could transform the medical world
8
AI and Image Data
9
What is Intelligence?

Self-recognition test in elephants. Marked forehead in front of a mirror. Look at what happens @EmoryUniversity Dr. Frans de Wall #mkt4intel pic.twitter.com/XnJtUzAg4A
— Diego Cantor (@diegocantor) October 27, 2016
10
Is this Time Different? The Opportunities and Challenges of AI

The panel debated whether or not all innovative products improve productivity

#mkt4intel #pt @joshgans is it low wage jobs that are people looking to replace ? Or the lawyers etc ... pic.twitter.com/SgyQ9IayjV
— Rahel Jhirad (@RahelJhirad) October 27, 2016

Got some great perspective from Jason Furman @CEAChair, Chairman, Council of Economic Advisors at CDL market for Intel #mkt4intel pic.twitter.com/P4cY258wZN
— Tony Lacavera (@TonyLacavera) October 27, 2016

@CEAChair Productivity Growth is down, we need more #AI to help #GTC16DC pic.twitter.com/pWfR4iyFbN
— CCC (@compcomcon) October 26, 2016

Matthew Bishop, an editor @TheEconomist, recommneded the audience to lookout for an article on Canada's leadership amongst developed countries

Canada’s example to the world: Liberty moves north https://t.co/cCq8dVly4r via @TheEconomist
— Iain Klugman (@iainklugman) October 28, 2016

Pedro Domingos suggested that some jobs will disappear with advancements in AI.Some Jobs will be changed with AI. He also warned that AI will increase inequality
11
Why Will Advances in Machine Intelligence be so Transformational?

Steve hypothesized how process learning is important while building AI systems. He explained how AI skills are domain dependent

"Big data" without machine learning would be "big headache" ~@dfjsteve Amen! #mkt4intel pic.twitter.com/d5Gy7A4vSh
— Shivon Zilis (@shivon) October 27, 2016

"The word big data (sic.) wouldn't be interesting without machine learning." - @dfjsteve #mkt4intel
— Joseph Bou-Younes (@josephby) October 27, 2016
Checkout Steve's artile on Why does deep and cheap learning work so well?
12
What’s Next? The Research Frontier- Presented by CIFAR

Never has there ever been a photo with more intellectual horsepower. @dfjsteve @rsalakhu Hinton, Sutton, Bengio. Thx for coming! #mkt4intel pic.twitter.com/ar0dkQxG4j
— Shivon Zilis (@shivon) October 27, 2016

"Lose your sense of entitlement and include AIs in your circle of empathy" Rich Sutton presented by @geordierose #mkt4intel pic.twitter.com/NCHQxQCeog
— David Crow (@davidcrow) October 27, 2016

"It turns out that Google is much better at funding this research than NSERC." - Prof. Geoff Hinton

Via Geoffrey Hinton: It's clear that #deeplearning will eventually be better than radiologists #mkt4intel pic.twitter.com/cwgqvsCPSa
— Michael Chui (@mchui) October 27, 2016

Geoff Hinton: "we should stop training radiologists right now, in 5 years #deeplearning will have better performance" #mkt4intel
— Frank Chen (@withfries2) October 27, 2016

Incredible news and win for the Canadian #AI ecosystem! Congrats @element_ai @jebannister and @RealVentures team! https://t.co/CFQL3kRrcq
— Marylin X. Ma (@marylinxma) October 26, 2016

Yoshua Bengio discusses next 5 years of unsupervised machine learning research: explanatory models #AI #mkt4intel pic.twitter.com/6vkADvN1XG
— Michael Chui (@mchui) October 27, 2016

Ruslan is now Director, AI Research at Apple

Via @rsalakhu: So far, most #deeplearning successes have been supervised learning, ie, pattern recognition. We're far from #AI #mkt4intel
— Michael Chui (@mchui) October 27, 2016

Open #AI #deeplearning challenges via @rsalakhu speaking with @dfjsteve pic.twitter.com/UNIsYtjkUv
— Michael Chui (@mchui) October 27, 2016

Ruslan suggested that next AI will be driven by Reinforcement Learning. He recommended audience to read Rich Sutton's book on Reinforcement Learning
13
AI and the Production of Food

Diane Wu @dna_nerd talking about her startup @tracegenomics at #mkt4intel. One of the great co-founders from former @MetaMindIO team. pic.twitter.com/fMndzG2i3U
— Richard (@RichardSocher) October 27, 2016
14
Investing in AI

why machine learning is taking off, what's up with deep learning, and three killer areas of active research https://t.co/VRGUwU2npP
— bradford cross (@bradfordcross) September 10, 2016

Good to Know: DCVC actively invests in Deep Learning Companies

Cool to see 3/3 deep learning startups featured here in the @DCVC portfolio: @AtomwiseInc, @enlitic & @FreenomeInc! https://t.co/RVzskU6eD6
— Zachary Bogue (@zackbogue) September 27, 2016
15
How to Build the most Responsible AI Future?
16
A Future with Intelligent Machines

.@kevin2kelly #mkt4intel you'll see real disruption when you can do with smaller data ... When you don't need huge data sets
— Rahel Jhirad (@RahelJhirad) October 27, 2016

Via @kevin2kelly: Data network effects will drive (temporary) consolidation in vertical #AI markets #mkt4intel pic.twitter.com/JS2JlLMrwj
— Michael Chui (@mchui) October 27, 2016

I can reached at pavanmirla @ gmail.com

Some of my previous posts:

Cool, colorful, creative → Perceptron Learning Algorithm in plain words https://t.co/LPmMTPsRHb #DataScience #MachineLearning by @pavanmirla
— Kirk Borne (@KirkDBorne) August 10, 2016

Intuition behind concept of gradient vector: https://t.co/vejnoSADmr #DataScience #MachineLearning by @pavanmirla pic.twitter.com/DKcX1p9X4m
— Kirk Borne (@KirkDBorne) July 17, 2016

Maximum Likelihood Estimate (MLE) and Logistic Regression simplified: https://t.co/CUdOhpP4ko #DataScience #MachineLearning by @pavanmirla
— Kirk Borne (@KirkDBorne) July 25, 2016

Finance
Jan 06, 2018 — Horizons Marijuana ETF - HMMJ components performance since 2017
Dec 27, 2017 — Ishares ETF Performance in 2017
Dec 25, 2017 — SP500 Stocks Performance in 2017
Machine Learning/ Data Visualization
Oct 27, 2016 — A walk through Machine Learning Conference held at Toronto
Jun 05, 2016 — Intuition behind concept of Gradient
Jun 12, 2017 — Secretary Problem. Strategy to select the Best Candidate
Dec 13, 2017 — Taylor Polynomials
Sep 15, 2017 — Immense Power of Interactive Math Explainers
Oct 09, 2016 — Introduction to the concept of Cross Entropy and its application
Sep 10, 2016 — Build a Neural Net to solve Exclusive OR (XOR) problem
Aug 16, 2016 — AI Winter. How Canadians contributed to end it?
Aug 04, 2016 — Perceptron Learning Algorithm in plain words
Jul 20, 2016 — Maximum Likelihood Estimate and Logistic Regression simplified
Jul 11, 2016 — Deep Learning highlights Month by Month

A walk through Machine Learning Conference held at Toronto

On Thursday October 27 2016, the University of Toronto's Rotman School hosted the second annual AI conference, "Machine Learning and the Market for Intelligence."

The focus was on the business opportunities and economic implications arising from the recent advances in AI.

I am writing this post to share with you great insights I heard from pioneers in Machine Learning. It was a privilege to see Geoff Hinton, Rich Sutton, Yoshua Bengio, Ruslan Salakhutdinov, Steve Jurvetson and other experts on stage.Section #12 is my favorite

Machine Intelligence - The Final Frontier?

The Economics of AI – Prediction and Judgement

"Machine intelligence is a compliment to human judgement. Human judgement will become more valuable" - Prof. Ajay Agrawal

AI Landscape

Haven't seen this AI landscape before?

New Applications of AI

Integrating AI Acquisitions

CEO of Otto, which was acquired for 680 million dollars spoke about the unique acquisition structure and revenue model

Richard Socher, chief Scientist noted that it is not easy to fund advanced research for a longer term in a startup. He mentioned that Salesforce benefits from access to data and strong distribution channels

Just in case you haven't heard of Salesforce Einstien, check out this video

Introducing Next AI

If you are seeking mentiorship,funding for your AI startup, check this incubator

AI and Healthcare

Brendan Frey, Founder of Deep Genomics described the opportunity for AI in Human Diagnostics. He hinted that AI will be a assistive technology.

AI and Image Data

What is Intelligence?

Is this Time Different? The Opportunities and Challenges of AI

The panel debated whether or not all innovative products improve productivity

Matthew Bishop, an editor @TheEconomist, recommneded the audience to lookout for an article on Canada's leadership amongst developed countries

Pedro Domingos suggested that some jobs will disappear with advancements in AI.Some Jobs will be changed with AI. He also warned that AI will increase inequality

Why Will Advances in Machine Intelligence be so Transformational?

Steve hypothesized how process learning is important while building AI systems. He explained how AI skills are domain dependent

What’s Next? The Research Frontier- Presented by CIFAR

"It turns out that Google is much better at funding this research than NSERC." - Prof. Geoff Hinton

Ruslan is now Director, AI Research at Apple

Ruslan suggested that next AI will be driven by Reinforcement Learning. He recommended audience to read Rich Sutton's book on Reinforcement Learning

AI and the Production of Food

Investing in AI

Good to Know: DCVC actively invests in Deep Learning Companies

How to Build the most Responsible AI Future?

A Future with Intelligent Machines

I can reached at pavanmirla @ gmail.com

Some of my previous posts:

Finance

Machine Learning/ Data Visualization

Machine Learning Posts

Finance Posts

General

R/Python