sPHENIX discussion of software

["Huang, Jin" <jhuang AT bnl.gov>]

Tutorials of the AI/ML for Scientists, just in case you are interested. 😊

 

Jin

 

 

______________________________

 

Jin HUANG

 

Physicist, Ph.D.

Brookhaven National Laboratory

Physics Department, Bldg 510 C

Upton, NY 11973-5000

 

Office: 631-344-5898

Cell:   757-604-9946

______________________________

 

From: Medaglia, Nicole <medaglia AT bnl.gov>
Sent: Wednesday, November 17, 2021 11:02 AM
To: CSIBNL <csibnl AT bnl.gov>; Physics Personnel <PhysicsPersonnel AT bnl.gov>; CFN Staff (Group) <allnanomaterials AT bnl.gov>; CMPMSD <cmpmsd AT bnl.gov>; Environmental & Climate Sciences Dept <eslist AT bnl.gov>; CO Scientific Staff <coscistf AT bnl.gov>; NSLS-II Personnel <allPhotonSciences AT bnl.gov>; Energy Sciences Directorate <EnergySciencesDirectorate AT bnl.gov>; EBNN Directorate <EBNNDirectorate AT bnl.gov>; Instrumentation Personnel <allinstrument AT bnl.gov>; CSI Students <CSIStudents AT bnl.gov>; aiml-wg-l AT lists.bnl.gov
Cc: Blackburn, Noel <blackburn AT bnl.gov>
Subject: Beginner Series of the Machine Learning (ML) and Artificial Intelligence (AI) for Scientists Tutorials (MAST)

 

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 . 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 . 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

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