Rethinking AI Architecture: How FPGAs Enable Intelligence at the Edge (Download)
The accelerating pace of artificial-intelligence (AI) development is massively ramping up its adoption across a broad swath of applications. AI is finding its way into everything from smart personal assistants and image creation to autonomous vehicles.
The ability of AI to make sense of large amounts of data, identify patterns, create insight ,and recommend actions is becoming commonplace. That ability, however, depends on access to a stream of source data and large amounts of compute capability to perform the inference.

