[Hallcsw] (fwd) Machine Learning Seminar on November 6

[Brad Sawatzky]

Hi all,

Many/most of you may have already seen this pop up on one of the other
mailing lists, but just in case...

This is being held in F113 on Tuesday.  It starts at 11pm and runs
through the afternoon.  Feel free to drop in on any talks you find
interesting(*).

Scroll down to the 'Tuesday, 6 November 2018' entry at the bottom of
this page for a list:
  https://www.jlab.org/indico/event/247/

-- Brad

----- Forwarded message from Markus Diefenthaler <mdiefent at jlab.org> -----

From: Markus Diefenthaler <mdiefent at jlab.org>
Subject: Machine Learning Seminar on November 6

We are organizing a Machine Learning Seminar on November 6: 

Artificial intelligence (AI) and machine learning (ML) methods will
allow to accelerate research in NP. On Tuesday, November 6, we will
review promising R&D areas in ML in HEP and NP. Anima Anandkumar
(Caltech) will address in her keynote “Opportunities for infusing
physics and domain knowledge into AI/ML algorithms”. An overview about
the R&D on scientific machine learning will be provided by Steven Lee
(DOE ASCR) and Wahid Bhimji (NERSC). A.-K. Burns (William & Mary), C.
Fanelli (MIT), and A. Tsaris (Fermilab) will present specific use cases
for ML methods in HEP and NP. 

You find our poster attached and our detailed program (including
BlueJeans details) on: https://www.jlab.org/indico/event/247/
<https://www.jlab.org/indico/event/247/>

Could you please help us with promoting the seminar among the Hall A / C
students and postdocs who might be interested in machine learning? 

Best regards, 

Markus. 

Markus Diefenthaler
Scientist

Thomas Jefferson National Accelerator Facility
EIC Center, Experimental Nuclear Physics Division
12000 Jefferson Avenue, P.S. #5, Newport News VA 23606
email: mdiefent at jlab.org , office: (757) 269-6259

----- End forwarded message -----