Sprecher
Marian Verhelst
Beschreibung
Various applications demand more and more powerful machine inference in resource-scarce distributed devices. To allow intelligent applications at ultra-low energy and low latency, one needs 1.) custom AI processors, exploiting parallelism and data reuse under strong resource limitations; 2.) efficient ML models, optimized for the target hardware platform; 3.) data-efficient scheduling techniques and algorithm-to-hardware mapping tools. This talk will zoom into such a future of cross-layer optimized AI platforms for edge computing.