With the advent of Cloud Computing, workloads have been steadily moving to data centres. AI is the latest workload class that the Cloud has been optimising for. At the same time, Edge compute stacks (mobile phones, Raspberry PIs) have also been beefing up to run AI-class workloads. I will discuss some ongoing areas of research and open source development that will enable AI to come to the Edge.
About the Speaker:
Dr. Amith Singhee is a Manager and Senior Technical Staff Member at IBM Research, India. He leads the research agenda for Industry Solutions in the sectors of Retail, Distribution and Buildings.
From 2008 to 2015, he was with the IBM T. J. Watson Research Center in NY, USA. He has extensive experience in applying Artificial Intelligence, IoT, enterprise architecture, Cloud and mobile to real-world business processes across multiple sectors such as energy, agriculture, buildings and retail. He has worked with large power utilities in the US to develop solutions for improved storm preparation and response using data analytics, machine learning, customized weather forecasting and optimization. He led an effort to develop a big-data analytics platform for developing and deploying a wide array of analytics-driven solutions for asset-heavy industries like energy and utilities, telecom, etc. This led to multiple new product offerings from IBM. In the past he has also worked for many years in electronic design automation, particularly in design optimization, simulation, modeling and design methodologies in the presence of environmental and manufacturing variability. As part of his work at IBM Research he led the effort to define a new methodology for SRAM technology development at advanced IC manufacturing technology nodes.
Amith has a PhD in Electrical and Computer Engineering from Carnegie Mellon University. He is a winner of several awards, specifically the Donald O. Pederson award from IEEE/CEDA, the Outstanding Dissertation Award from EDAA, the Arthur G. Milnes Award from Carnegie Mellon University, and best paper awards at top Power and EDA conferences, such as IEEE PES General Meeting, DAC, DATE and VLSI Design. He is a Senior Member of the IEEE and a member of the ACM.