Introduction of Deep Learning Inference Using Computational Phase Change Memory
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Seminar in Advances in Computing-SRAM based In-Memory Computing for Energy-Efficient AI Systems
SDC2020: Analog Memory-based Techniques for Accelerating Deep Neural Networks
Benchmark embedded deep learning inference in minutes
CEDA VDL Abu Sebastian In Memory Computing for a More Efficient and General AI
Keynote 13 IBM AI Accelerating Deep Neural Networks with Analog Nonvolatile Memory Devices
Accelerating AI using next-generation hardware: Possibilities and challenges with analog in-memory
Deep Dive: Optimizing LLM inference
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Last Updated: August 19, 2026
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