Participants sought for Machine Learning Working Group by EEMBC
The new suite will identify the performance potential and power efficiency of processor cores used machine learning acceleration on clients such as virtual assistants, smartphones, and IoT devices.
The group will be chaired by Intel’s Ramesh Jaladi. The working group is currently defining the first proofs of concept. Participants include Analog Devices, ARM, AuZone, Flex, Green Hills Software, Intel, Nvidia, NXP Semiconductors, Samsung, STMicroelectronics, Synopsys, and Texas Instruments.
More information
https://www.eembc.org/machine-learning//index.php
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