Augmenting Cognition Through Edge Computing

Augmented cognition can transform human capabilities, but delivering its benefits in real-time will require low-latency wireless access to powerful infrastructure resources from lightweight wearable devices. Edge computing is the only viable approach to meeting these stringent requirements. In this paper, we explore the symbiotic relationship between augmented cognition and edge computing. We show how off-the-shelf wearable hardware, standard AI technologies such as computer vision, and edge computing can be combined to create a system that is much greater than the sum of its parts. Augmenting human cognition thus emerges as a prime example of a new class of edge-native applications that can become “killer apps” for edge computing

Creating Intelligent Computational Edge through Semantic Mediation

This research proposes semantic mediation based on reasoning and the first order logic for mediating the best possible configuration of Computational Edge, relevant for software applications which may benefit for running computations with proximity to their data sources. The mediation considers the context in which these applications exist and exploits the semantic of that context for decision making on where computational elements should reside and which data they should use. The application of semantic mediation could address the initiative to accommodate algorithms from predictive and learning technologies, push AI towards computational edges and potentially contribute towards creating a computing continuum