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AigenTech develops an automated framework for creating and optimizing hardware accelerators for artificial intelligence applications. This technology aims to reduce the design time of custom accelerators and improve the efficiency of AI workloads, enabling faster adaptation to evolving AI models in sectors like healthc…
Edge AI is poised to transform industries like healthcare, automation, and consumer electronics, but the rapid evolution of AI models clashes with the slow, rigid development of hardware accelerators.
Custom accelerators, while efficient, take over a year to design, making them obsolete by the time they are deployed.
Existing solutions also suffer from manual compiler customization and inefficient workload mappings, leading to wasted energy and increased latency.Building on the tools and methodo…
KATHOLIEKE UNIVERSITEIT LEUVEN
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