then complex algorithms such as deep neural networks are certainly better than human performance. So examples are chess, Go, Jeopardy, which are stable. But if you have a problem that's not stable ...

Take video systems for example, the resolution and color depth of imaging ... FPGAs are perfect for handling complex algorithms that benefit from parallel and pipelined processing. Additionally, FPGA ...