Applications and Techniques for Fast Machine Learning in Science. - Allison McCarn Deiana; Nhan Tran; Joshua Agar; Michaela Blott; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Scott Hauck; Mia Liu; Mark S. Neubauer; Jennifer Ngadiuba; Seda Ogrenci Memik; et al. (CoRR, 2021)

Applications and Techniques for Fast Machine Learning in Science. - Allison McCarn Deiana; Nhan Tran; Joshua Agar; Michaela Blott; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Scott Hauck; Mia Liu; Mark S. Neubauer; Jennifer Ngadiuba; Seda Ogrenci Memik; et al. (Frontiers Big Data, 2022)

A Convolution Neural Network Based Displaced Vertex Trigger for the Belle II Experiment. - Kai Lukas Unger; Jürgen Becker 001; Christian Kiesling; Yichuan Ma; Felix Meggendorfer; Marc Neu; Elia Schmidt; Ulrike Zweigart (ARC, 2023)

VHDL Crash Course: A Multimedia-Based Teaching Approach. - Fabian Kreß; Vladimir Sidorenko; Iuliia Topko; Kai Lukas Unger; Tanja Harbaum; Jürgen Becker 001 (GeCon, 2024)

Corrigendum: Applications and techniques for fast machine learning in science. - Allison McCarn Deiana; Nhan Tran; Joshua Agar; Michaela Blott; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Scott Hauck; Mia Liu; Mark S. Neubauer; Jennifer Ngadiuba; Seda Ogrenci-Memik; et al. (Frontiers Big Data, 2024)

Real-Time Graph Building on FPGAs for Machine Learning Trigger Applications in Particle Physics. - Marc Neu; Jürgen Becker 001; Philipp Dorwarth; Torben Ferber; Lea Reuter; Slavomira Stefkova; Kai Lukas Unger (Comput. Softw. Big Sci., 2024)