AI is not merely a computational tool but an organizational change agent. Its ability to gather and analyze real-time data ...
Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...
Abstract: DC arc faults in photovoltaic systems pose serious safety risks, including fire hazards and power disruption, making accurate and timely detection essential. This article presents PArcNet, a ...
Traditional breeding and genetic modification methods have struggled to keep pace with the rapid evolution of plant viruses. CRISPR/Cas systems, originally derived from bacterial immune responses, ...
Abstract: In this article, a framework for the analog implementation of a deep convolutional neural network (CNN) is introduced and used to derive a new circuit architecture which is composed of an ...