Quantum computing has long felt like a perpetual promise — a mysteriously powerful technology that’s always “about 10 years away.” If you tuned it out, you weren’t alone. But something has shifted ...

Frequency-domain deep learning refers to neural architectures and algorithms that perform core operations—most notably convolution—within the spectral representation of images rather than directly on ...

Abstract: Radio Frequency Neural Networks (RFNNs) have demonstrated advantages in realizing intelligent applications across various domains. However, as the model size of deep neural networks rapidly ...

Abstract: In this paper, we propose an optimization framework of offloading from a single mobile device (MD) to multiple edge devices. We aim to minimize both total tasks' execution latency and the MD ...

Word frequency distributions display robust regularities across languages and text genres, reflecting fundamental constraints on communication and cognition. The most common words follow an inverse ...