Recent breakthroughs in large language models (LLMs) on complex reasoning tasks have been largely driven by Test-Time Scaling (TTS) — a paradigm that enhances reasoning by intensifying inference-time ...

Abstract: Generalized low-density parity-check with polar component (GLDPC-PC) codes exhibit promising potential for 6G wireless systems with higher demands on reliability and data rate. The decoding ...

Abstract: Quantum Neural Networks (QNN) and Quantum Long Short-Term Memory (QLSTM) models are emerging as powerful tools in quantum machine learning. The effectiveness of these models is largely ...

Have you ever fantasized about going back in time to relive a moment — or change it? Maybe you’re more interested in traveling to the future where cars fly and the code to immortality has been cracked ...