Abstract: Edge Intelligence (EI) is the ability to analyze data locally at the point where the data is being collected, formulate a decision based on that analysis and execute that decision autonomously without human interaction. It is core to the original definition of IoT devices but was lost due to technology limitations at the time IoT devices were first created. The communication centric approach where the IoT device relies on communication of the raw data to the Cloud, where the data is analyzed and decisions are formulated, was the result of these limitations.
Communication bandwidth, energy inefficiency of data communication, latency and security have become the key limiters preventing IoT to become the engine of growth for the semiconductor industry. EI is about to change this. In this forum these limitations and how EI will address them and what is needed for EI to become a reality will be addressed. At the center of EI is the small system AI engine.
Talk FF.1 will introduce a path for a processing engine that is not based on a von Neumann architecture, but on In Memory Computing and is capable of a compute performance of 1 TOPS while consuming only 1 mW of power, enabling the reliance on scavenged energy and thus creating energy autonomy. And how a new technology platform will enable the building of such an engine. In the other talks the challenges of EI sensors (smart sensors, FF.7), AI engines (FF.8), energy autonomy (FF.4), communication (FF.6) and security (FF.9) will be covered. Foundational technology talks are FF.3 and FF.5. In talk FF.2 the impact of all this on the world we live in will be discussed.
We will have a live session on June 17 at 6:00am PDT that includes a panel of forum speakers plus Q&A that will be moderated by Ali Keshavarzi of Stanford University.