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2 Results for: Book/Issue: AIMLSystems '22: Proceedings of the Second International Conference on AI-ML Systems
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- research-articleMay 2023
TinyML Techniques for running Machine Learning models on Edge Devices
AIMLSystems '22: Proceedings of the Second International Conference on AI-ML SystemsArticle No.: 27, Pages 1–2https://doi.org/10.1145/3564121.3564812Resource-constrained platforms such as micro-controllers are the workhorses in embedded systems, being deployed to capture data from sensors and send the collected data to cloud for processing. Recently, a great interest is seen in the research ...
- research-articleMay 2023
An hardware accelerator design of Mobile-Net model on FPGA
AIMLSystems '22: Proceedings of the Second International Conference on AI-ML SystemsArticle No.: 2, Pages 1–9https://doi.org/10.1145/3564121.3564124Domain specific hardware architectures and hardware accelerators have been a vital part of modern system design. Especially for math intensive applications involving tasks related to machine perception, incorporating hardware accelerators that work in ...
