The Cognitive Edge
With the explosive growth in the adoption of Artificial Intelligence (AI) to address a large range of problems that were deemed very hard, the information technology and semiconductor communities have rushed to develop computing platforms that provide the desired performance at an acceptable energy cost. So far, the majority of attention and investment has been directed towards “Cloud AI”, with “Data” being the largest common denominator in creating value for industries, governments, and individuals' lives. However, the quest for intelligence is fast becoming a prominent and essential feature at the “Edge” as well, where trillions of “things” will combine to generate even more data. Given the severe constraints that govern edge devices in terms of efficiency, footprint, robustness and cost, it is self-evident that bringing true intelligence to the edge will require profound innovation at all levels of the stack from the computational concepts all the way down the implementation technology. This observation spans the full range of devices ranging from automotive, mobile, industrial, immersion, IoT to wearable and implantable. In this presentation, we evaluate a number of plausible options, explore possible paths forward, and present a set of recommendations on how to make it happen.