AI algorithms often require significant processing power typically associated with data centers. However, privacy concerns, latency and security considerations, together with increased compute capabilities of edge devices, are making local AI data preprocessing increasingly common.| antmicro.com
Development of Machine Learning algorithms which enable new and exciting applications is progressing at a breakneck pace, and - given the long turnaround time of hardware development - the designers of dedicated hardware accelerators are struggling to keep up. FPGAs offer an interesting alternative to ASICs, enabling a much faster and more flexible environment for such HW-SW co-development - and with projects such as the FPGA interchange format, Antmicro has been turning the FPGA ecosystem to...| antmicro.com