Machine learning (ML) provides effective means to learn from spectrum data and solve
complex tasks involved in wireless communications. Supported by recent advances in …

While deep learning (DL) technologies are now pervasive in state-of-the-art Computer
Vision (CV) and Natural Language Processing (NLP) applications, only in recent years have …

While deep machine learning technologies are now pervasive in state-of-the-art image
recognition and natural language processing applications, only in recent years have these …

The increasing sophistication in computing capability and sensing technologies have
continued to drive the design, development, and growth of the smart technologies commonly …

Deep learning (DL) models have been shown to be vulnerable to adversarial attacks. DL
model security against adversarial attacks is critical to using DL-trained models in forward …

Reproducibility and replicability (R&R) are important for research. Many communities are
beginning efforts to reward, incentivize, and highlight projects as a motive to adopt R&R …

Intelligent capabilities are of utmost importance in future wireless communication systems.
For optimum resource utilization, wireless communication systems require knowledge of the …

While the toolset known as Machine Learning (ML) is not new, several of the tools available
within the toolset have seen revitalization with improved hardware, and have been applied …

The Network Law Review is pleased to present a symposium entitled “Dynamics of
Generative AI,” where lawyers, economists, computer scientists, and social scientists gather …