Abstract: Photonic compressive sensing (PCS), a paradigm for broadband sparse radio frequency (RF) signal acquisition, is recognized for its ability to significantly reduce sampling rate. However, ...

Abstract: The Traveling Salesman Problem (TSP) is a widely studied NP-complete optimization challenge with significant theoretical and practical implications. This study proposes a hybrid ...

Researchers at TU Wien have discovered an unexpected connection between two very different areas of artificial intelligence: Large Language Models (LLMs) can help solve logical problems—without ...

This project implements a Variational Autoencoder (VAE) for image generation. Unlike standard autoencoders, VAE learns a probabilistic latent space by encoding images to a distribution and sampling ...

Srinivasa Ramanujan grew up in southern India with almost no formal education, but his mind never stopped creating mathematics. Using nothing but a single outdated textbook, he taught himself advanced ...