In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, ...

Abstract: This study proposes an unsupervised deep learning-based (DL-based) approach to precoding design for integrated sensing and communication (ISAC) systems. Designing a dynamic precoder that can ...

For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it ...

Abstract: The increasing popularity of unsupervised machine learning techniques, particularly in clustering algorithms, is evident due to their ability to efficiently generate clusters from large ...