S3 - Asal Kiazadeh, Flexible AI hardware towards energy-efficient edge device for medical wearables

19 Outubro 2022, 14:00 • Maria Margarida Cruz

Abstract: Exponential increase of data volume due to smart devices in the concept of internet-of-things (IoT) give rise to an ultra-high energy demand. It is notable that the dominating factor of power consumption is in fact related to data transfer between processing unit and memory rather than computation itself. Therefore, solutions to reduce power consumption to a large extent must rely on memory-centric computation and brain-inspired neuromorphic architectures.

In this seminar, flexible IC design for medical applications is targeted. We showcase different synapse devices using amorphous oxide semiconductors (AOS) technology, besides a proof-of-concept of on-chip matrix vector multiplication, applying memristor technology.