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" ... Enter encoders and decoders, commonly known as codecs, which are used to reduce media files in size before transmission so they require less bandwidth. Traditional codecs, however, perform the same series of hard-coded compression and decompression operations on all files. These algorithms are therefore programmed to perform satisfactorily on a wide variety of image content, instead of being customized to optimally perform on any specific image content. The advent of AI, on the other hand, has created an opportunity to produce a new, more intelligent kind of codecs, that can adapt and perform optimally on any image content. Instead of repeating the same compression operation on each and every file, we are now able to discover the optimal compression function not only for each individual image, but also for each individual pixel. ... "
" ... Xilinx recently announced the acquisition of startup NGCodec. The two companies have been working together for more than five years with teams in Santa Clara and Waterloo to develop high-performance video encoders designed to run on Xilinx’s FPGAs. Historically, hardware encoders were fast, but provided lower-quality video using older encoding technology. What set NGCodec apart was using programmable hardware (FPGAs) - not just software running on industry standard x86 servers - to encode broadcast quality video in real time using the latest codecs like H.265/HEVC and VP9. The use of NGCodec codecs on Xilinx high performance FPGAs has the potential to create a new breed of cloud applications that can utilize video encoding in combination with AI and specialized algorithmic processing. ... "