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When
Nov. 1 - 3 2022
Where
Virtual

About the Conference


This conference focuses on how individuals, groups and companies in the nuclear industry are turning to innovative technologies and methodologies to face their challenges. Artificial Intelligence, Machine Learning, Big Data and DIET are increasingly being utilized to obtain new insight, perform analysis more efficiently and more accurately, be more sustainable and improve safety. Other technologies such as Adaptive Manufacturing, Digital Twins and Virtual Reality are being actively explored and implemented by those involved in nuclear activities and research. This international conference is seeking presentations from individuals, organizations and academia pertinent to these and other innovation technologies either deployed or being considered for deployment in the full spectrum of nuclear related activities and research. Authors require to only prepare a presentation.

Topics and Themes

The central objective of this conference is to provide a forum for exchanging views, ideas and information relating to technologies such as Artificial Intelligence, Machine Learning, Data Analysis, Big Data, DIET, Digital Twins and how these innovations may be regulated. There is a considerable recognition that through collaboration, the nuclear industry needs to move forward and deal with the challenges it faces.
Innovation has kept the nuclear industry strong for the past 60 years and it will continue to do so. In keeping with this vision, and to help direct the development of the conference program, it is proposed that the theme of the conference be: Automation using AI
The conference is a forum for sharing the latest knowledge and experiences in adopting DIET, ideas, methodologies, algorithms including different means of AI and ML, thereby helping us perform our tasks safer, more efficiently and more accurately.
The main topics of the conference include:
  • Data Analysis, innovative approaches/methodologies toward data and analysis
  • Artificial Intelligence and Machine Learning
  • DIET
  • Regulatory frameworks and Compliance
  • Big Data
  • Digital Twins
  • Virtual Reality
  • Robotics and AI
  • Nano-technology
  • Adaptive Manufacturing

New This Year!


Modern Scientific Computing – Kitting Your Stack
As an individual contributor, you may be interested to support your outputs with the latest analytic techniques and being the enterprising individual that you are… you have successfully pitched your employer to provide you with the time and money required to investigate opportunities. But where do you begin spending the valuable resources you’ve been allocated?  How do you set yourself, and your organization, up for success?
With the proliferation of options in terms of hardware, software, workflow, and methodology, it is difficult to understand what choices make sense.
This workshop introduces some of the most impactful stack components currently available to the practitioner. The discussion, intended to enable good choices in an overwhelmingly complex decision space, will highlight the hardware, software, development tools, workflows, and resources found on some of the most artificially intelligent desktops in the world.
If you are in your first epochs and learning an optimal path from online tutorial to online application… this very practical nuts and bolts discussion may be of use to you.
Workshop Overview
  • A high-level history of relevant methods, hardware, and software
  • Hardware CPUs, GPUs, RAM, and disks
  • Software operating systems, languages, libraries, and frameworks
  • Methods old and new
  • Supporting tools – IDEs, editors, code versioning, and package managers
  • Workflows and stacks – putting it all together
  • Advanced next-level use-cases
  • Resources
For more information, please contact:
1. Nick Torenvliet at NICK.TORENVLIET@brucepower.com
2. Aleem Juma at aleem.juma@opg.com

Machine Learning Tutorial

An easy-to-follow demo of computer vision machine learning using Python and Tensorflow.
This workshop requires some prior Python programming experience, but those without can still follow the machine learning training and inference process.
In this workshop you’ll see how to design, define, train, and use a Tensorflow model to identify different types of clothing, using the “Fashion MNIST” dataset. We will start with the basic notebook from the Tensorflow examples, then build on it, time permitting, by:
– Exploring misclassifications,
– Improving the model design,
– Reviewing overfitting, and
– Monitoring model training.
For more information, please contact Aleem Juma at aleem.juma@opg.com
This year our conference program is presenting three full days including a new vendor discussion section.
The conference will provide invaluable opportunities for networking, professional development, exchanging ideas, technical discussions, and updates on the AI/ML-based implementations and ongoing efforts in nuclear programs.
Our speakers play a large role in the success of our conference annually, and this year will not be any different. Becoming a speaker in the vendor discussion section gives you access to our top-tier industry attendees from Canada and visibility to your organization.
To learn more about our current opportunities and to get your organization in front of who matters in the industry, please email Nazgol Shahbandi at nazgol.shahbandi@opg.com

Registration Is Now Open!

 
Before September 30th 
After September 30th 
Members 
$150 
$200 
Non-Members 
$200 
$250 
Retirees 
$75 
$100 
Students in Good Standing 
$0 
$50 
Early Bird Date: September 30th

Our Sponsors


Become a Sponsor!

Our unique virtual platform has several sponsorship opportunities. The platform will also let you exhibit your services and products.

To view our sponsorship packages, please click here.

For more information on sponsorship packages, please contact:

1. Moe Fadaee: moe.fadaee@cns-snc.ca

2. Nicole Davies: nicole-davies01@outlook.com

Plenary Speakers


More speakers coming soon!

Deadline for Submissions Extended to September 30th

 

Deadline 
Action 
September 16th
September 30th 
Call for Papers Close
October 21st  
Submission of Presentation Materials Deadline 
For questions regarding technical paper submission, please contact:
Kevin Lee: Kevin.Lee@cnsc-ccsn.gc.ca 
Chris Cochrane : chris.cochrane@cnsc-ccsn.gc.ca 

Organizing Committee


What Theme Say

Read what the previous attendees had to say !


Contact Us


If you need assistance please contact:

1. Moe Fadaee: moe.fadaee@cns-snc.ca

2. Nicole Davies: nicole-davies01@outlook.com

3. Elmir Lekovic (CNS Office): cns_office@cns-snc.ca

  • DATE

    Nov. 1 - 3 2022
  • LOCATION

    Virtual
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