Results 141 to 150 of about 931,340 (223)

Deep Bayesian active learning using in-memory computing hardware. [PDF]

open access: yesNat Comput Sci
Lin Y   +5 more
europepmc   +1 more source

The Role of Phase-Change Memory in Edge Computing and Analog In-Memory Computing: An Overview of Recent Research Contributions and Future Challenges. [PDF]

open access: yesSensors (Basel)
Antolini A   +8 more
europepmc   +1 more source

Characterization and Programming Algorithm of Phase Change Memory Cells for Analog In-Memory Computing. [PDF]

open access: yesMaterials (Basel), 2021
Antolini A   +6 more
europepmc   +1 more source

In-memory-computing CNN accelerator employing charge-domain compute

open access: yes, 2020
High-dimensional matrix-vector-multiplications (MVM) are the main operations of deep neural networks (DNN). As the size of DNNs increases, data movement becomes a problem and limits their performance. Analog in-memory computing accelerators are one of the most promising solutions to reduce this problem.
openaire   +1 more source

Hardware-aware Low-Rank Adaptation for Large Language Models Based on Hybrid Compute-in-Memory Architecture

open access: hybrid
Taiqiang Wu   +9 more
openalex   +1 more source

Rapid learning with phase-change memory-based in-memory computing through learning-to-learn. [PDF]

open access: yesNat Commun
Ortner T   +9 more
europepmc   +1 more source

Physical unclonable in-memory computing for simultaneous protecting private data and deep learning models. [PDF]

open access: yesNat Commun
Yue W   +16 more
europepmc   +1 more source

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