Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)
- Geoffrey Burr
- Sidney Tsai
- et al.
- 2023
- IEDM 2023
Bio
Julian Büchel is a Pre-Doc in the in-memory computing group at IBM Research Zurich. Büchel studied Computer Science (BSc) and Neural Systems and Computation (MSc) at ETH Zürich. During his MSc, Büchel worked at SynSense, a company focused on digital neuromorphic vision. Büchel joined IBM Research for his MSc thesis in 2021 and is a Pre-Doc since 2022. He is currently doing research in algorithms for analog in-memory computing, hardware-aware training methodologies, adversarial robustness/attacks, and generalization methods in deep learning.
Publications
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
- 2023
- APL Mach. Learn.
Projects
Top collaborators
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Vijay Narayanan
IBM Fellow & Strategist, Physics of AI. Senior Manager, PCM and AI Materials
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Abu Sebastian
Distinguished Scientist & Manager
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Kaoutar El Maghraoui
Principal Research Scientist, AI Engineering, AI Hardware Center