AI News and Events

The 1st Artificial Intelligence for Nuclear Physics Winter School (AI4NP) will occur on January 11-15, 2021 online. The goal is to give the participants a deeper understanding on what Artificial Intelligence and Machine Learning are and how they can be used to analyze data, design new detectors, controls, and calibration systems for nuclear physics experiments and perform theoretical calculations of nuclear many-body systems. The AI4NP Winter School will consist of a combination of lectures and guided hands-on exercises covering a variety of topics from the basics of neural networks to real life applications in theoretical and experimental Nuclear Physics.

Date: January 11-15, 2021

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Operators of the primary particle accelerator at the U.S. Department of Energy’s Thomas Jefferson National Accelerator Facility are getting a new tool to help them quickly address issues that can prevent it from running smoothly. A new machine learning system has passed its first two-week test, correctly identifying glitchy accelerator components and the type of glitches they’re experiencing in near-real-time.

Date: January 05, 2021

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The "Future Trends in Nuclear Physics Computing" workshop is connected to the monthly "Software & Computing Round Table" that is jointly organized by Brookhaven National Laboratory and the Thomas Jefferson National Accelerator Facility. The workshop was 'hosted' by Jefferson Lab and co-organized by Brookhaven and Jefferson Labs.

Date: September 29, 2020

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The thrust of nuclear physics is studying the universe down to its smallest subatomic parts. Now, two physicists at the Department of Energy’s Thomas Jefferson National Accelerator Facility have secured more than $2 million in federal funding dedicated to research projects that harness the power of data analytics to make that work faster and more efficient. David Lawrence and Chris Tennant are among 14 scientists at seven DOE national laboratories whose proposals were awarded a total of $37 million to be allocated over three years.

Date: September 22, 2020

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This is an internal workshop of the GlueX, EIC and PANDA collaboration. The aim of the workshop is to improve the know-how of machine learning techniques usable for the two experiments and to improve the collaboration between them. The workshop aims at beginners and more experienced users/developers.

Date: September 21, 2020

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Internal virtual Town Hall meeting organized for people working on AI projects to get together and collaborate. You can present your work in the form of a short lightening presentation and get to know what others are doing on AI. 

Date: August 28, 2020

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The 1st Artificial Intelligence for Nuclear Physics Winter School (AI4NP) will occur on January 11-15, 2021 online. The goal is to give the participants a deeper understanding on what Artificial Intelligence and Machine Learning are and how they can be used to analyze data, design new detectors, controls, and calibration systems for nuclear physics experiments and perform theoretical calculations of nuclear many-body systems. The AI4NP Winter School will consist of a combination of lectures and guided hands-on exercises covering a variety of topics from the basics of neural networks to real life applications in theoretical and experimental Nuclear Physics.

Date: January 11-15, 2021

Operators of the primary particle accelerator at the U.S. Department of Energy’s Thomas Jefferson National Accelerator Facility are getting a new tool to help them quickly address issues that can prevent it from running smoothly. A new machine learning system has passed its first two-week test, correctly identifying glitchy accelerator components and the type of glitches they’re experiencing in near-real-time.

Date: January 05, 2021

The "Future Trends in Nuclear Physics Computing" workshop is connected to the monthly "Software & Computing Round Table" that is jointly organized by Brookhaven National Laboratory and the Thomas Jefferson National Accelerator Facility. The workshop was 'hosted' by Jefferson Lab and co-organized by Brookhaven and Jefferson Labs.

Date: September 29, 2020

The thrust of nuclear physics is studying the universe down to its smallest subatomic parts. Now, two physicists at the Department of Energy’s Thomas Jefferson National Accelerator Facility have secured more than $2 million in federal funding dedicated to research projects that harness the power of data analytics to make that work faster and more efficient. David Lawrence and Chris Tennant are among 14 scientists at seven DOE national laboratories whose proposals were awarded a total of $37 million to be allocated over three years.

Date: September 22, 2020

This is an internal workshop of the GlueX, EIC and PANDA collaboration. The aim of the workshop is to improve the know-how of machine learning techniques usable for the two experiments and to improve the collaboration between them. The workshop aims at beginners and more experienced users/developers.

Date: September 21, 2020

Internal virtual Town Hall meeting organized for people working on AI projects to get together and collaborate. You can present your work in the form of a short lightening presentation and get to know what others are doing on AI. 

Date: August 28, 2020