Efficient Machine Learning, Compilers, and Optimizations for Embedded Systems. (arXiv:2206.03326v1 [cs.LG])

Deep Neural Networks (DNNs) have achieved great success in a massive number
of artificial intelligence (AI) applications by delivering high-quality
computer vision, natural language processing, and virtual reality applications.
However, these emerging AI applications also come with increasing computation
and memory demands, which are challenging to handle especially for the embedded
systems where limited computation/memory resources, tight power budgets, and
small form factors are demanded. Challenges also come from the diverse
application-specific requirements, including real-time responses,
high-throughput performance, and reliable …

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