Irem Boybat
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- IBM Research – Zurichas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-4255-8622
- OpenAlex ID
- A5084000491as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 31
Accurate deep neural network inference using computational phase-change memory,
A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh,
A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks,
ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning,
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing,
A phase-change memory model for neuromorphic computing,
Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics,
Computational memory-based inference and training of deep neural networks
+23 more
← Authored by 31
Accurate deep neural network inference using computational phase-change memory,
A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh,
A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks,
ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning,
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing,
A phase-change memory model for neuromorphic computing,
Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics,
Computational memory-based inference and training of deep neural networks
+23 more
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Summary
Irem Boybat is a human[1].