HIGHLIGHTS
- who: Embedded FPGAs et al. from the Institute of Electrodynamics Microelectronics, University of Bremen, Bremen, Germany have published the Article: CNN Sensor Analytics With Hybrid-Float6 Quantization on Low-Power Embedded FPGAs, in the Journal: (JOURNAL)
- what: The authors propose an optimized multiply-accumulate (MAC) hardware by reducing the mantissa multiplication to a multiplexor-adder operation. The authors demonstrate this concept in 2D convolution layers. The authors evaluate the applicability of the approach with a CNN-regression model for anomaly localization in a structural health monitoring (SHM) application based on acoustic emission (AE). The authors . . .
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