Irem Boybat has been a part of the In-memory computing group of IBM Research – Zurich since 2015, and she currently holds a post-doctoral researcher position here. Her current research focus is on developing the next generation of AI systems with analog in-memory compute cores composed of non-volatile memory. Prior to joining IBM – Research Zurich, Irem was a research scholar at IBM Research – Almaden, San Jose, California with similar research focus.
Irem earned her Ph.D. degree in Electrical Engineering at the École Polytechnique Fédérale de Lausanne (EPFL) in Lausanne, Switzerland, in 2020, her Master of Science (M.Sc.) degree in Electrical and Electronic Engineering, also from EPFL, in 2015 and her Bachelor of Science (B.Sc.) degree in Electronics Engineering from Sabanci University, Istanbul, Turkey, in 2013. She was a co-recipient of the 2018 IBM Pat Goldberg Memorial Best Paper Award and 2018 IBM Research Division Award on neuromorphic computing using phase-change memory devices. She has co-authored over 30 scientific papers in journals and conferences, received three best conference presentation/paper/poster awards and holds 9 granted and pending patents.
We are collecting scientific articles, perspectives, reviews and commenteries for Frontiers Research Topic: Hardware for Artificial Intelligence (co-edited by A. Serb, M. Payvand, I. Boybat and O. Rhodes). Abstract deadline: October 9, 2020.
Invited talk, Symposium "Advanced neuromorphic computing hardware: Towards efficient machine learning" at DPG Spring Meeting, Dresden, Germany, March 2020 (cancelled)
Invited talk, "Women in Tech 2020", Stockholm, Sweden, March 2020 (live-streamed video available)
Invited talk, "Jubilee Seminar: Peak Human?" at Royal Swedish Academy of Engineering Sciences, Stockholm, Sweden, December 2019 (live-streamed video available)
Invited talk, "Neuromorphic Computing day" at Sabanci University, Istanbul, Turkey, April 2019
Invited talk, "Neuromorphic computing and hardware Gothenburg - Stockholm joint workshop", Stockholm, Sweden, December 2018
Invited talk, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland, May 2018
In the news
Nature - Behind the paper (2020): Accurate deep neural network inference using computational phase-change memory
IBM blog (2020): Iso-accuracy deep learning inference with in-memory computing
NyTeknik news article (2020): How IBM wants to make AI systems 1,000 times more efficient
IBM blog (2020): International Women's day: Celebrating Science
Announcement (2020): President Yusuf Leblebici graduates his 50th PhD student
Announcement (2020): ISSCC Rising Stars 2020 Workshop
IBM blog (2018): Novel synaptic architecture for brain inspired computing
IBM blog (2018): Machine learning for analog accelerators