Register now for the March 3 event, from 9 a.m.-3 p.m.
NEWPORT NEWS, VA – In order to foster growth and interest in applications of Artificial Intelligence in the field of nuclear physics, Jefferson Lab, in conjunction with the University of Virginia's School of Data Science, is proud to host an A.I. Hack-A-Thon on March 3, preceding the " A.I. for Nuclear Physics Workshop,” scheduled at the lab on March 4-6.
The last 10 years have seen explosive growth in the field of A.I. This was fueled, in large part, by rapid increases in computational hardware alongside the accessibility of vast amounts of data. As A.I. becomes increasingly pervasive in society, the nuclear physics community has recognized its potential.
The purpose of the Hack-A-Thon is to give participants "hands-on" experience with A.I. as they attempt to address several aspects of charged particle reconstruction in nuclear physics experiments. By the end of the session, participants should have gained a deeper insight into the tools and techniques present in A.I.
During the A.I. Hack-A-Thon, participants will work in teams to solve a set of challenge problems that will progress in complexity as the day goes on. Prizes will be awarded at the end of the session. These challenge problems are simplified versions of a common application of A.I. in experimental nuclear physics. Tracking charged particles through magnetic fields is often the most time-intensive task in reconstruction algorithms and an excellent example of the power of A.I. in a real-world application.
Activities, food and refreshments for the Hack-A-Thon are covered by Amazon Web Services.
The Southeastern Universities Research Association and Jefferson Lab are pleased to announce they are offering up to 25 travel grants of $1,500* to attend the A.I. for Nuclear Physics Workshop and pre-meeting Hack-A-Thon activities. Click Here for more information on travel assistance.
*Travel grant awards are subject to available funding from the National Science Foundation.
Contact: Lauren Hansen, Jefferson Lab Communications Office, 757-269-7689, firstname.lastname@example.org