In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
Abstract: In the era of pervasive computing, machine learning (ML) is increasingly deployed on resource-constrained devices, such as smartphones, IoT devices, and edge nodes. This research explores ML ...
Abstract: Power transformers are essential to power grids but are prone to faults that, if undetected, can lead to catastrophic failures. Traditional protection systems often struggle to accurately ...