Dr. Ashiq Anjum
University of Leicester , United Kingdom
Edge Intelligence: The Next Stop in the Evolution of Distributed AI
Ashiq Anjum is a Professor of Distributed Systems at the University of Leicester, UK. His areas of research include data intensive distributed systems, distributed machine learning models and high performance analytics platforms for continuous processing of streaming data. Prof. Anjum has participated in a number of large projects including the EU funded projects on healthcare and medical data analytics, distributed clinical intelligence and integration and iterative genome analytics. He has been investigating large scale distributed systems and analytics platforms for the LHC data in collaboration with CERN Geneva Switzerland for the last fifteen years. He has also been working with aerospace, rail and automobile companies to investigate how infrastructures and services can benefit from real time analytics by intelligently analyzing IoT data streams for accuracy, reliability, safety and capacity. He is closely working with a leading VR provider to commoditise AI driven digital twins and enable real time visualization of data models and distributed algorithms in a Virtual Reality environment.
This talk will provide insights about the evolution of distributed AI over the last decade and how the current technological advancements are leading us to a future where Edge AI will become the main stream AI paradigm. Example projects and applications will highlight advancements in systems, data models and algorithms that have contributed to four distinct waves of AI research and innovation during this evolution in the last decade. The talk will conclude with the challenges and opportunities that are driving the evolution towards Edge AI.