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phys-npps-mgmt-l - [Phys-npps-mgmt-l] Fwd: FW: Department of Energy to Provide $40 Million for Artificial Intelligence Research at DOE Scientific User Facilities

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Subject: NPPS Leadership Team

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  • From: Torre Wenaus <wenaus AT gmail.com>
  • To: NPPS leadership team <Phys-npps-mgmt-l AT lists.bnl.gov>
  • Subject: [Phys-npps-mgmt-l] Fwd: FW: Department of Energy to Provide $40 Million for Artificial Intelligence Research at DOE Scientific User Facilities
  • Date: Tue, 10 Mar 2020 10:18:06 -0400

Two CCs from the boss today. Other is at the bottom.

---------- Forwarded message ---------
From: Mueller, Berndt <bmueller AT bnl.gov>
Date: Tue, Mar 10, 2020 at 10:13 AM
Subject: FW: Department of Energy to Provide $40 Million for Artificial Intelligence Research at DOE Scientific User Facilities
To: Roser, Thomas <roser AT bnl.gov>, Dunlop, James C <dunlop AT bnl.gov>
Cc: Wenaus,Torre J <wenaus AT bnl.gov>, Palmer, Mark <mpalmer AT bnl.gov>


A great opportunity for us, but we will need to act fast and furiously.

 

One special issue for RHIC (later EIC) is whether we can use ML/AI to avoid the need to international (and perhaps even national) users to travel to BNL for shifts etc.

 

Berndt

 

From: "Doucette, Paul T" <DoucetteP AT battelle.org>
Date: Tuesday, March 10, 2020 at 10:03 AM
To: "Carreras, Barbara J" <carreras AT bnl.gov>, "Clark, George" <gclark AT bnl.gov>, "Hatton, Diane" <dhatton AT bnl.gov>, "Genzer, Peter A" <genzer AT bnl.gov>, Doon Gibbs <gibbs AT bnl.gov>, "Hill, John" <hill AT bnl.gov>, "Anderson, Jack" <janderson AT bnl.gov>, "Kleese Van Dam, Kerstin" <kleese AT bnl.gov>, "Manning, David" <dmanning AT bnl.gov>, "Misewich, James" <misewich AT bnl.gov>, "Mueller, Berndt" <bmueller AT bnl.gov>, Martin Schoonen <mschoonen AT bnl.gov>, Robert Tribble <rtribble AT bnl.gov>
Subject: FW: Department of Energy to Provide $40 Million for Artificial Intelligence Research at DOE Scientific User Facilities

 

FYI.

 

From: 'Bannan, Kate (CONTR)' via Energy Sciences Coalition (ESC) <energy_sciences_coalition AT googlegroups.com>
Sent: Tuesday, March 10, 2020 9:23 AM
To: energy_sciences_coalition AT googlegroups.com
Subject: FW: Department of Energy to Provide $40 Million for Artificial Intelligence Research at DOE Scientific User Facilities

 

Message received from outside the Battelle network. Carefully examine it before you open any links or attachments.

FYI – feel free to share

 

  • The funding opportunity focuses on 18 DOE Office of Science user facilities, including particle accelerators, accelerator test facilities, x-ray light sources, neutron scattering sources, and nanoscale science research centers, overseen by three major program offices:  Basic Energy Sciences, High Energy Physics, and Nuclear Physics.
  • The facilities are invited to submit proposals and encouraged to find partners at universities, national laboratories, and other institutions 
  • Awards are expected for both small groups and larger multidisciplinary teams
  • Planned funding for Fiscal Year 2020 will be up to $13 million
  • Proposals are due May 1

 

 

From: DOE Press Office <doenews AT hq.doe.gov>
Sent: Monday, March 9, 2020 3:01 PM
Subject: Department of Energy to Provide $40 Million for Artificial Intelligence Research at DOE Scientific User Facilities

 

Press Release

News Media Contact: (202) 586-4940
For Immediate Release: March 9, 2020

 

Department of Energy to Provide $40 Million for Artificial Intelligence Research at DOE Scientific User Facilities

Research will Tackle Rapidly Growing Data Output, Aid in Facility Operations

 

WASHINGTON, D.C. - Today, the U.S. Department of Energy (DOE) announced plans to provide up to $40 million over three years for new research in data, artificial intelligence and machine learning to address the challenges of producing and managing data at DOE scientific user facilities.

“Major scientific facilities at our DOE national laboratories are generating vast and growing amounts of data for researchers every day,” said Dr. Chris Fall, Director of DOE’s Office of Science. “Artificial intelligence and machine learning hold out new promise for managing this wealth of data as well as improving facility operations and aiding in experimental design.”

Proposals are expected to focus on each of a range of different challenges, including extracting information from complex data sets, managing facility operations in real time, and optimizing experiments through the creation of virtual laboratory environments, among other topics.

“Artificial intelligence’s ability to analyze and divine insights from massive data sets has the power to transform the world around us,” said Cheryl Ingstad, Director of DOE’s Artificial Intelligence & Technology Office. “DOE is determined to lead by example in AI application by turning this power on ourselves to optimize the way we operate facilities and push the boundaries of scientific discovery.”

The funding opportunity focuses on 18 DOE Office of Science user facilities, including particle accelerators, accelerator test facilities, x-ray light sources, neutron scattering sources, and nanoscale science research centers, overseen by three major program offices:  Basic Energy Sciences, High Energy Physics, and Nuclear Physics.

The facilities are invited to submit proposals and encouraged to find partners at universities, national laboratories, and other institutions. 

Awards are expected for both small groups and larger multidisciplinary teams.

Applications will be due on May 1, 2020, at 5:00 p.m. Eastern Time.  Planned funding for Fiscal Year 2020 will be up to $13 million, with outyear funding contingent on congressional appropriations.

The announcement for DOE laboratories can be found on websites of either Basic Energy Sciences, High Energy Physics, or Nuclear Physics under the heading “National Laboratory Announcements.”

 

###

 


U.S. Department of Energy, 1000 Independence Ave SW, Washington, DC 20585, USA




---------- Forwarded message ---------
From: Kleese Van Dam, Kerstin <kleese AT bnl.gov>
Date: Tue, Mar 10, 2020 at 9:52 AM
Subject: Re: Quantum ML/AI
To: Mueller, Berndt <bmueller AT bnl.gov>, Alexander, Francis <falexander AT bnl.gov>
Cc: Wenaus,Torre J <wenaus AT bnl.gov>, Kleese Van Dam, Kerstin <kleese AT bnl.gov>


Hi Berndt,
i will ask our scientists that already work in this area.
Best wishes,
Kerstin

Kerstin Kleese van Dam
Director Computational Science Initiative
Brookhaven National Laboratory
Building 725, room 2-127B
PO Box 5000
Upton, New York, 11973-5000

Phone 631 344-6019
Cell 509 221-0758

From: Mueller, Berndt <bmueller AT bnl.gov>
Sent: Tuesday, March 10, 2020 9:42 AM
To: Kleese Van Dam, Kerstin <kleese AT bnl.gov>; Alexander, Francis <falexander AT bnl.gov>
Cc: Wenaus,Torre J <wenaus AT bnl.gov>
Subject: Quantum ML/AI
 

Kerstin / Frank:

 

Is this a platform we may want use? If so, could we have someone preset an introduction to interested scientists at BNL?

 

https://ai.googleblog.com/2020/03/announcing-tensorflow-quantum-open.html

 

Berndt




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