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Tag: compute-in-memory

A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog IMC (IBM and ETH Zurich)

A technical paper titled “A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing” was published by researchers at IBM Research Europe and...

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WEBINAR: An Ideal Neural Processing Engine for Always-sensing Deployments – Semiwiki

Always-sensing cameras are a relatively new method for users to interact with their smartphones, home appliances, and other consumer devices. Like always-listening audio-based Siri...

Scalable CMOS back-end-of-line-compatible AlScN/two-dimensional channel ferroelectric field-effect transistors – Nature Nanotechnology

Migliato Marega, G. et al. Logic-in-memory based on an atomically thin semiconductor. Nature 587, 72–77 (2020).Article  CAS  Google Scholar  Wang, Z. et al....

Deep thinking on compute-in-memory in AI inference

Neural network models are advancing rapidly and becoming more complex. Application developers using these new models need faster AI inference but typically can’t afford...

Simulation Framework to Evaluate the Feasibility of Large-scale DNNs based on CIM Architecture & Analog NVM

Technical paper titled “Accuracy and Resiliency of Analog Compute-in-Memory Inference Engines” from researchers at UCLA. Abstract“Recently, analog compute-in-memory (CIM) architectures based on emerging analog non-volatile...

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