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As an important learning algorithm, extreme learning machine (ELM) is known for its excellent learning speed. With the expansion of ELM's applications in the�...
Apr 22, 2023 � Liang Li , Guoren Wang, Gang Wu, Qi Zhang: Benchmarking Hardware Accelerating Techniques for Extreme Learning Machine. ELM 2018: 144-153.
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Apr 6, 2021 � To achieve these goals, in this paper, we leverage an automation tool called DNNExplorer [1] for benchmarking customized DNN hardware�...
Extreme learning machines (ELMs) are NN architectures to increase computational efficiency and performance for large data processing [182] . A low-cost real-�...
In this manuscript, we focus on well-known AI/ML models that have been optimized for both GPUs and IPUs, ensuring that we see the absolute best-case scenarios�...
A new machine learning technique which called Extreme Learning Machine (ELM) was proposed in 2006 and proved that it has higher computational speed and�...
Hardware accelerators are designed to optimize compute-intensive tasks like inference by using custom silicon chips tailored for matrix multiplications.
Aug 30, 2023 � We develop an hardware-aware retraining approach to systematically examine the accuracy of analog in-memory computing across multiple network topologies.
Jun 25, 2024 � It evaluates the effectiveness of the optimized models in terms of their inference speed for image classification and video action detection.
... acceleration through the lens of matrix multiplica- tion hardware, a cornerstone operation in numerous AI algorithms and deep learning models. Through the�...