Browsing Electronic Systems Engineering (ESE) by Subject "Machine Learning"
Now showing items 1-2 of 2
-
High-Throughput Computational Techniques for Discovery of Application-Specific Two-Dimensional Materials
Two-dimensional (2D) materials have revolutionized the field of materials science since the successful exfoliation of graphene in 2004. Consequently, the advances in computational science have resulted in massive generic ... -
Low Power Machine Learning Systems for Energy Efficient Edge Devices
Energy-efficient devices are essential in the world of edge computing and the tiny Machine Learning (tinyML) paradigm. Edge devices are often constrained by the available compu- tational power and hardware resource. To ...