Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...
Abstract: Deep learning (DL) has been widely applied in wireless communications to address diverse challenges, such as beam management, positioning, and channel state information (CSI) feedback.
For decades, neuroscience and artificial intelligence (AI) have shared a symbiotic history, with biological neural networks (BNNs) serving as the ...
Researchers in Japan have trained rat neurons to perform real-time machine learning tasks, moving computing into biological territory. The system uses cultured neurons connected to hardware to ...
Abstract: The high energy costs of neural network training and inference led to the use of acceleration hardware such as GPUs and TPUs. While such devices enable us to train large-scale neural ...
Draft version. Final version is published in “Chapman & Hall/CRC Mathe-matics and Artificial Intelligence Series” by Taylor & Francis in 2026. @book{ye2026mathematical, title = {Mathematical ...
A CLI tool that creates IP-netmask address objects on Palo Alto Networks Panorama using the pan-os-python SDK. Address objects are defined in YAML configuration files organized by device group, ...
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