Author: torontoai

Generative Adversarial Networks Meetup

Generative Adversarial Networks

Tuesday, Nov 6, 2018, 6:00 PM

Rangle.io
18 York Street Toronto, on

99 manifolds Attending

Generative Adversarial Networks and their forms are undergoing a cambrian explosion as we uncover how neural networks trained by other neural networks can learn to generate high fidelity models of the real world. The level and pace of innovation in this part of the AI sphere is phenomenal. We’ll look at: a) Introducing GANs b) GAN applications c) D…

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AI crash course – Apache MXNet with Gluon

AI crash course – Apache MXNet with Gluon

Thursday, Sep 20, 2018, 6:00 PM

Rangle.io
18 York Street Toronto, on

109 manifolds Attending

Join us for a crash course on using MXNet and Gluon for your artificial intelligence projects. The talk is given by Sergei Sokolov, a deep learning engineer from Amazon Web Services. He’s flying in from Vancouver for the event! This is going to be a huge event – hint: it’s worth getting on the waitlist. Itinerary: —————————- 6-6…

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Join us for a crash course on using MXNet and Gluon for your artificial intelligence projects.

The talk is given by Sergei Sokolov, a deep learning engineer from Amazon Web Services. He’s flying in from Vancouver for the event!

This is going to be a huge event – hint: it’s worth getting on the waitlist.

Itinerary:
—————————-
6-6:15 – Arrival & Social
6:15 – Announcements
6:20 – Apache MXNet and Gluon crash course
7:35 – AI News
7:40 – Social
8:00 – All done!

Important to know
—————————-
– Due to building security regulations, Rangle employees will be by the elevators at 18 York St and will escort you up to the 5th floor.
– There is no cost for the event.

AI course: Intro to Keras

AI course: Intro to Keras

Thursday, Aug 16, 2018, 6:15 PM

Rangle.io
18 York Street Toronto, on

5 manifolds Attending

Join us for an Intro to the Keras framework at Rangle.io, a widely used open source AI framework that can run on top of TensorFlow, designed to make the prototyping and development of deep learning models much easier. We’ll introduce the Sequential model and show how it can be used to build example neural networks. We’ll be providing the code and y…

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AI in Health Care

AI in Health

Tuesday, Jul 17, 2018, 6:00 PM

Metro Hall
55 John St. Room 308/309 Toronto, ON

100 manifolds Attending

How has AI entered into healthcare? What is being developed? Canada is leading the way with advancements in the fields of both artificial intelligence and health. We have panelists from 3 of these new labs who are paving the way to improve health outcomes for current and future generations. —————– ProteinQure – Tomas Babej – CTO Computat…

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Intro to Keras

Intro to Keras

Tuesday, Jun 26, 2018, 6:00 PM

BA1210, Bahen Centre, University of Toronto
40 Saint George Street, Toronto, ON M5S 2E4 Toronto, ON

75 manifolds Went

Join us at UofT with the UofT CSSU for an Intro to the Keras framework, a widely used open source AI framework that can run on top of TensorFlow, designed to make the prototyping and development of deep learning models much easier. We’ll introduce the Sequential model and show how it can be used to build example neural networks: A deep convolutiona…

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Deep Learning in Keras + TorontoAI x CSSU

Deep Learning in Keras + TorontoAI x CSSU

Tuesday, Jun 26, 2018, 6:00 PM

University of Toronto
27 King’s College Circle Toronto, ON

62 manifolds Attending

Join us at UofT for an Intro to the Keras framework, a widely used open source AI framework that can run on top of TensorFlow, designed to make the prototyping and development of deep learning models much easier. We’ll introduce the Sequential model and show how it can be used to build example neural networks: A deep convolutional network and a mul…

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Details
Join us at UofT for an Intro to the Keras framework, a widely used open source AI framework that can run on top of TensorFlow, designed to make the prototyping and development of deep learning models much easier.

We’ll introduce the Sequential model and show how it can be used to build example neural networks: A deep convolutional network and a multi-layer LSTM character level model for modelling a distribution of names – with pretty cool results 😉

We’ll be providing the code and you’ll be able to run it within Colaboratory – a hosted notebook from a Google research project created to help disseminate machine learning education and research.

Itinerary:
—————————-
6-6:15 – Arrival
6:15 – Announcements
6:20 – Intro to Keras and code walkthrough
7:20 – Q&A
7:35 – Important new papers in AI
7:45 – Social time
8:00 – All done!

Important to know
—————————-
– There is no cost for the event.
– Attendees must join the Slack channel for Toronto AI prior to the event:
https://join.slack.com/t/toronto-ai/shared_invite/enQtMjE5NTM5MzY3NTU0LTQ0ZDIyM2ZlZDYwMmRjY2I2NTEyMjZjYzJkNzljZTI1ZWRiMDkzYjUyZjRkMTc5ZDM0OGJmZjdmNzM5NDM5Zjk

Legal stuff
Toronto AI is not sponsored or endorsed, or in partnership or affiliation with Google Inc.

Intro to Keras @ Naborly

Intro to Keras @ Naborly

Thursday, May 31, 2018, 6:15 PM

Naborly
302-207 Adelaide Street East Toronto, ON

55 manifolds Attending

Join us at Naborly for an Intro to Keras, a widely used open source AI framework that can run on top of TensorFlow, designed to make the prototyping and development of deep learning models much easier. We’ll introduce the Sequential model and show how it can be used to build an example neural network: A multi-layer LSTM character level model for m…

Check out this Meetup →

 

Details
Join us at Naborly for an Intro to Keras, a widely used open source AI framework that can run on top of TensorFlow, designed to make the prototyping and development of deep learning models much easier.

We’ll introduce the Sequential model and show how it can be used to build an example neural network: A multi-layer LSTM character level model for modelling a distribution of names – with pretty cool results 😉

Important to know
—————————-
– There is no cost for the event.
– Attendees must join the Slack channel for Toronto AI prior to the event:
https://join.slack.com/t/toronto-ai/shared_invite/enQtMjE5NTM5MzY3NTU0LTQ0ZDIyM2ZlZDYwMmRjY2I2NTEyMjZjYzJkNzljZTI1ZWRiMDkzYjUyZjRkMTc5ZDM0OGJmZjdmNzM5NDM5Zjk

Itinerary:
—————————-
6-6:15 – Arrival and refreshments
6:25 – Announcements
6:30 – Intro to Keras and code walkthrough
7:15 – Q&A
7:30 – Important new papers in AI
7:45 – Social time
8:15 – All done!

 

 

Reinforcement Learning

ecobee’s very own Haotian Zhang will be speaking about reinforcement learning!

Haotian Zhang is an AI researcher at ecobee Inc., developing innovative AI solutions and efficient machine learning techniques for smart homes. He is also working on building context-aware and agent-based AI systems. Before that, he worked on control and optimization of multi-agent systems and received his PhD degree in Electrical and Computer Engineering from University of Waterloo.

More details will follow!

 

Reinforcement Learning

Tuesday, Feb 27, 2018, 6:00 PM

Ecobee Office
207 Queen’s Quay West Suite 600 Toronto, ON

80 manifolds Attending

ecobee’s very own Haotian Zhang will be speaking about reinforcement learning!Haotian Zhang is an AI researcher at ecobee Inc., developing innovative AI solutions and efficient machine learning techniques for smart homes. He is also working on building context-aware and agent-based AI systems. Before that, he worked on control and optimization of …

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Google creates AI studio to act as an incubator-like program

About the program

Image icon of a half brain, half a.i. blend.We focus on applying tech to product. Thanks in great part to the open-source movement, it’s easier than ever to build a technology company. However, AI & ML innovation is still in its nascent phase and very hard to apply in the building of comprehensive solutions and scalable products.

We want to make technology accessible. In line with recent announcements made by Google’s CEO Sundar Pichai and Chief Scientist Fei Fei Li, Launchpad is more committed than ever to make new technological advances, like AI and ML, universally accessible and useful to startups globally.

We offer tools and best practices to apply AI to products. With this in mind, Launchpad Studio aims to be a go-to hub for the world’s best AI entrepreneurs by empowering them on their journeys, as they build next-gen products that matter.”

https://developers.google.com/startups/studio/

Senior Data Scientist

We’re an exciting young startup that is growing incredibly fast and making a huge impact in the world of digital advertising.
Our platform is connected to thousands of publishers and advertisers worldwide, dealing with hundreds of thousands of requests each second. We utilize the latest technology to solve challenges in traffic, data storage, machine learning, and scalability.
We are searching for a talented data scientist to join our fun and hard-working team, as we go all-in on our data science efforts. This is an important role in one of Toronto’s hottest startups with unlimited potential for growth and opportunities.
Responsibilities:
  • Develop models and algorithms to maximize ROI for platform campaigns and bidding strategies
  • Develop strategies to effectively filter and categorize inventory and impressions
  • Implement a data analysis framework, consisting of tools to analyze and test models effectively
  • Generate insights on user behaviour and implement necessary solutions
    Be able to test results and optimize efficiently
Requirements
  • At least 2 years of relevant experience as a Data Scientist, Masters/PhD degree preferred.
  • Proficient software programming skills, proficiency with Python (Scikit Learn), R (ggplot), and/or Scale
  • Strong understanding Bayesian methods, multidimensional data analysis (PCA, LDA) preferred·
  • Strong experience with multivariate regression (logistic, linear), and classification (random forest, decision tree) preferred
  • Strong experience of machine learning theory (i.e. adaboost, SVM, neural networks)
  • Understanding of applied stochastic processes (Preferred)
  • Pipeline development in working with Hadoop, Spark, Hive, Hbase and related big data technologies (Preferred)
  • Background in advertising technology is a plus
Compensation & Perks:
  • Competitive salary, Full benefits, Gym Membership Reimbursement, weekly yoga, office sport leagues & more
  • Free healthy lunches on Mondays, lots of snacks, weekly beer Fridays, opportunity to become great at Ping Pong
  • Bright office in the heart of the Spadina startup hub
  • Quarterly team events- escape games, bubble soccer, obstacle courses, and much more!

 

 

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.