How University of Texas Medical Branch is using AI to identify patients at high cardiovascular risk, flag for stroke and ...

Researchers from UCLA and Meta AI have introduced d1, a novel framework using reinforcement learning (RL) to significantly enhance the reasoning capabilities of diffusion-based large language models ...

After obtaining feasible solutions from classical optimization, MicroAlgo CBQOA employs Continuous-Time Quantum Walk (CTQW) to search the solution space. CTQW is a random walk model in quantum ...

Researchers used a 56-qubit system to create truly random numbers that even the most powerful supercomputers couldn't predict ...

Gambling games operate according to modern quality and safety standards. They always give different results every time without fail. Special random number generators are responsible for this, also ava ...

Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) have calibrated an ...

The allure of quantum computers is, at its heart, quite simple: by leveraging counterintuitive quantum effects, they could ...

Abstract: Distributed detection over decentralized baseband architectures has emerged as an important problem in the uplink massive MIMO systems. In this paper, the classic Kaczmarz method is fully ...