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09/20/2023
Grassroots Operator Search for Model Edge Adaptation
Hardware-aware Neural Architecture Search (HW-NAS) is increasingly being...
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07/18/2023
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
Analog In-Memory Computing (AIMC) is a promising approach to reduce the ...
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05/17/2023
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing
The advancement of Deep Learning (DL) is driven by efficient Deep Neural...
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04/05/2021
A flexible and fast PyTorch toolkit for simulating training and inference on analog crossbar arrays
We introduce the IBM Analog Hardware Acceleration Kit, a new and first o...
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01/22/2021
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
Neural Architecture Search (NAS) methods have been growing in popularity...
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05/17/2018