more informationMore information: Google Scholar | Neuromorphic & In-memory computing at IBM Research Europe | AI Hardware at IBM Research | WiPLASH (EU Horizon 2020 Project) | Frontiers Research Topic: Hardware for AI
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 energy-efficient AI systems by leveraging analog in-memory computing. 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 the recipient of the 2020 EPFL PhD thesis Distinction in Electrical Engineering, a co-recipient of the 2018 IBM Pat Goldberg Memorial Best Paper Award and a co-recipient of the 2018 IBM Research Division Award on neuromorphic computing using phase-change memory devices. She has co-authored over 35 scientific papers in journals and conferences, received three best conference presentation/paper/poster awards and holds 9 granted and pending patents.
- HiPEAC 2021 Tutorial "Using gem5 and RISC-V simulation to enable the optimization of heterogeneous architectures" now available on Youtube!
- 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). Extended manuscript submission deadline: 31 July 2021.
Invited talk, at webinar series "Semiconductors for breakfast" by the DPG Association of Semiconductor Physics, March 2021
Talk, Barcelona School of Informatics of Universitat Politecnica de Catalunya, March 2021 (link to event here)
Tutorial talk, High Performance and Embedded Architecture and Compilation (HiPEAC), Budapest, Hungary, January 2021 (recording available here)
Invited talk, Symposium "Advanced neuromorphic computing hardware: Towards efficient machine learning" at DPG Spring Meeting, Dresden, Germany, March 2020 (cancelled)
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
Sabanci University blog (2020): President Yusuf Leblebici graduates his 50th PhD student
IEEE Solid-state Circuits Society 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