Event details
This C-IoT seminar is the second in a series of talks on IoT security.
Title: Challenges and Opportunities in Logic-based AI Hardware Design
Speaker: Dr Rishad Shafik, Newcastle University, UK
Abstract: Enabling artificial intelligence (AI) at the micro edge can unlock the potential of a new generation of autonomous applications to improve our life. For realising this, energy efficiency is a key design objective for hardware and software systems alike. In this keynote, I will present a new AI ecosystem that our team is leading on in collaboration with our international partners. The new approach, underpinned on Learning Automata, offers a transition from traditional arithmetically driven AI to logic-based AI. I will introduce the foundational principles of this approach and then present the highlights of some of our major developments, including the first ever TM microchip design, data preprocessing methods, self-timed and online learning microarchitectures. To conclude, I will provide an overview of the challenges and opportunities -- with a highlight of further research.
Biography: Dr Rishad Shafik is a Senior Lecturer (Associate Professor) in Electronic Systems and leads the Autonomous Electronic Systems Lab within the Microsystems Group, Newcastle University, UK. Dr. Shafik received his PhD, and MSc (with distinction) degrees from Southampton in 2010, and 2005; and BSc (with distinction) from the IUT, Bangladesh in 2001. He is one of the editors of the book ``Energy-efficient Fault-tolerant Systems'', published by Springer USA; author/co-author of 130+ IEEE/ACM journal and conference articles, with 5 best paper awards/nominations. He has recently guest edited for a number of top-tier journals, including a special theme issue in Royal Society Philosophical Transactions A on "Harmonizing Energy-Autonomous Computation and Intelligence". He contributes to several reputable IEEE/ACM journal editorial/review committees and international conference committees, such as DATE, DAC, ISVLSI, DFTS, Nsys. He is the Chair of International Tsetlin Machine Workshop 2022, recent Chair of UKCAS2020, and the General Chair of IEEE DFTS'17. He is a Steering Member of eFutures v2.0 and PI/CoI of a number of grants funded by EPSRC, Royal Society, RAEng, Lloyds Register Foundation and Industry, based around his core interest area of hardware/software co-design for artificial intelligence systems.
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