Coding After Coders: The End of Computer Programming as We Know It

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

Unsupervised Learning-Based Low-Complexity Integrated Sensing and Communication Precoder Design

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 ...
Tech Xplore

The AI that taught itself: How AI can learn what it never knew

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 ...
IEEE

Unsupervised Representation Learning from Sparse Transformation Analysis

Abstract: There is a vast literature on representation learning based on principles such as coding efficiency, statistical independence, causality, controllability, or symmetry. In this paper we ...

AI can rewrite open source code—but can it rewrite the license, too?

Computer engineers and programmers have long relied on reverse engineering as a way to copy the functionality of a computer ...
GitHub

Block or report TerryZhang95

Book PDF and simulation code for the monograph "Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency" by Emil Björnson, Jakob Hoydis and Luca Sanguinetti, published in Foundations and T… ...
GitHub

circuit-synth

What is Code-Based Circuit Design? Circuit-synth brings software engineering practices to hardware design by letting you define circuits in Python code instead of ...