Emerging wireless demands are reshaping how next-generation networks are built, from spectrum strategy to intelligent signal ...
Abstract: Deep neural networks (DNNs) are easily fooled by adversarial examples. Most existing defense strategies defend against adversarial examples based on full information of whole images. In ...
Abstract: Text-to-speech (TTS) systems are designed to synthesize natural and expressive speech, adapt to an unseen voice, and capture the speaking style of an unseen speaker by converting text into ...
The ESP32 keeps finding new jobs in my house.
We note that our work focuses on architectural comparisons rather than competing with recent SLM developments (e.g., SmolLM, MobileLLM). Our analysis isolates the fundamental advantages of ...
As AI infrastructure fragments into specialized tiers, CPUs are becoming the orchestration layer for agentic workloads.
This project implements an image captioning system using deep learning. It uses a pretrained convolutional neural network to extract image features and an LSTM-based decoder to generate captions word ...