EIC computing joint activities

[Jerome LAURET <jeromel AT bnl.gov>]

-------- Forwarded Message --------
Subject: 	Beginner Series of the Machine Learning (ML) and Artificial 
Intelligence (AI) for Scientists Tutorials (MAST)
Date:   Wed, 17 Nov 2021 16:02:20 +0000
From:   Medaglia, Nicole <medaglia AT bnl.gov>



Good morning,

You are invited to attend the Beginner Series of the Machine Learning 
(ML) and Artificial Intelligence (AI) for Scientists Tutorials (MAST), 
to be held online via Zoom on *December 6-15, 2021, at noon-2pm EST 
every other day*. The MAST series is organized by the Brookhaven 
National Laboratory’s Computational Science Initiative, in coordination 
with the BNL AI and ML working group.

*Registration: *

To register for the tutorials, please go to 
https://indico.bnl.gov/e/mast2021 <https://indico.bnl.gov/e/mast2021>. 
The registration is free but required for participation. In accordance 
with the BNL’s Guests, Users and Visitors’ rules, if you do not have an 
active BNL employee or guest ID, you may be required to submit your 
information through BNL’s Guest Information System (GIS): 
www.bnl.gov/guv <http://www.bnl.gov/guv>. It may take 2 weeks to get 
your registration approved, so please register early if you fall under 
this category.

The deadline for registration is *11:59pm EST, December 3, 2021*.

*Event Description:*

Machine learning and data science-driven techniques have proven to be 
transformative methods in the last decade. Lying at the heart of 
Brookhaven National Laboratory (BNL) and the Department of Energy's 
computational initiatives, we believe that the applications of these 
techniques have major potential in almost every field of science. To 
this end, the Computational Science Initiative (CSI) recently christened 
the Center for Computing Sciences Education and Support (CCSES) program 
to help enable BNL personnel and their collaborators leverage machine 
learning and data-driven methods to accelerate their own research. As 
one of the first efforts made by CCSES, we are excited to present the 
first of a three-part tutorial series on AI and machine learning. This 
first series, intended for beginners in software and/or machine 
learning, will cover the following introductory topics:

 1. Basic Python, including installation and usage
 2. Basic NumPy (numerical Python), including usage and best practices
 3. Introduction to Machine Learning
 4. Introduction to automatic gradient-enabled tensors using PyTorch,
    and your first neural networks
 5. A first use case: convolutional neural networks for image 
classification

The speakers are early-career researchers in CSI's AI / machine learning 
group.

Speakers:

  * David Dakota Blair
  * Matthew Carbone
  * Yi Huang
  * Sandeep Mittal
  * Yihui (Ray) Ren
We look forward to your participation!

Best Regards,

The MAST Organizing Committee

*/Nicole Medaglia/*

*/Administrative Assistant/ Proposal Coordinator/*

*/Brookhaven National Laboratory/*

*/Computational Science Initiative/*

*/Building 725 – Room 2-135/*

*/Phone:  631-344-6245/*

*/_medaglia AT bnl.gov <mailto:medaglia AT bnl.gov>_/*

signature_179879281 <https://www.bnl.gov/>
Twitter <https://twitter.com/BrookhavenLab> | Facebook 
<https://www.facebook.com/brookhavenlab> | Instagram 
<https://www.instagram.com/brookhavenlab/> | LinkedIn 
<https://www.linkedin.com/company/brookhavenlab/>//