Overview
A significant change is happening within the computing industry, and it is driven by the massive volume of data generated by billions of connected devices in the enterprise, as well as the recent advancements in AI algorithms processing all this data.
However, for the change to be useful, the AI processing or inference has to happen in real time and with limited bandwidth, to enable critical decision making at the edge.
Many industry verticals will be significantly impacted, from privacy sensitive applications in the healthcare domain, such as real-time diagnosis and disease detection, smart traffic cameras for autonomous object identification and traffic flow management, to the realisation of fully autonomous perception and control in self-driving cars.
The challenges of AI at the edge cannot merely be overcome by advances in AI software infrastructures. The solution lies in the critical rethinking of AI hardware at the edge, to achieve real-time processing with limited memory and the preservation of data privacy while not sacrificing the accuracy of the AI algorithms.
Gain expert insights on this subject as Dr Sakya Dasgupta of Edgecortix Inc. shares his knowledge about edge computing and the challenges for enabling the future of AI at the edge.
Date 22 April 2020, Wednesday
Time: 4:00pm - 5:00pm
Programme:
4:00pm - 5:00pm: Breaking Down Artificial Intelligence at the Edge by Dr Sakyasingha Dasgupta, Founder and CEO, Edgecortix, Inc.
Speaker's Profile:
Dr Sakyasingha Dasgupta, Founder and CEO, Edgecortix, Inc.
Sakya Dasgupta is the CEO and Founder of Edgecortix Inc., a deep tech startup based in Tokyo and Singapore, automating Machine Learning driven AI hardware and software co-design for an intelligent distributed edge ecosystem. He holds a PhD from the Max Planck Institute, Germany, a Masters in AI from the University of Edinburgh, UK and studied at the MIT Sloan School of Management. Sakya has previously held senior R&D positions at organisations such as RIKEN, Microsoft and IBM Research, with more than a decade of experience in AI, robotics and embedded hardware. Before founding EdgeCortix Inc., he was a senior research scientist and team lead at IBM Research. He holds numerous patents and has published widely in the area of Machine Learning systems.
