BNL Physics sixth joint meeting on AI/ML

Friday 10 Jun 2022, 11:00 → 12:15 US/Eastern

Torre Wenaus (BNL)

Meeting notes

This meeting is to discuss AI/ML activities, plans, and opportunities for collaboration across BNL's HEP and NP programs. Input and volunteers are welcome, please contact Torre.

Connect using ZOOM
https://bnl.zoomgov.com/j/16157150845?pwd=NXNqTi9ZWEFBKzYwRXQ5U3NXU1dBZz09
Password: 614170  Meeting ID: 161 5715 0845
For dial-in numbers see https://www.zoomgov.com/zoomconference?m=g66QyNmrN2be3Psh94eOt95RRdfqw_sQ 

1 Applying ML techniques to signal feature extraction in the sPHENIX calorimeters

Speaker: Dr Maxim Potekhin (Brookhaven National Laboratory NPPS/Physics Department)

ML for sPHENIX calorimetry

2 User experiences: Deep Sets neural network with different job scheduling

Speaker: Fang-Ying Tsai (Stony Brook University)

DSNNrWF_06102022.pdf