International Rectifier continues its recent theme of offering packaged solutions based on its power devices with the release of the iMotion integrated design package for motor control (Picture). At ...
Most of the algorithms implemented in FPGAs used to be fixed-point. Floating-point operations are useful for computations involving large dynamic range, but they require significantly more resources ...
In this video from ATPESC 2019, James Moawad and Greg Nash from Intel present: FPGAs and Machine Learning. Neural networks are inspired by biological systems, in particular the human brain. Through ...
Field-programmable gate arrays (FPGAs) offer a unique platform for the implementation of high-performance sorting algorithms by combining inherent parallelism with customisable hardware architectures.
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