Google DeepMind and Intrinsic developed AI that uses graph neural networks and reinforcement learning to automate multi-robot ...

Embodied intelligence applications, such as autonomous robotics and smart transportation systems, require efficient coordination of multiple agents in dynamic environments. A critical challenge in ...

Cloud – either via public provider or direct from the quantum companies – is currently by far the most common and popular way to access quantum systems while the tech is still in development and ...

Based on the set-partitioning model, we propose a branch-and-price-and-cut algorithm and a branch-and-bound algorithm to solve the problem exactly. The proposed algorithms are tested on instances ...

Joe Evans, M.D., Sentara’s chief health information officer, explains both the clinical and coding benefits of working with ...

Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...

This paper presents the Levinson algorithm, its rediscoveries and extensions. A review is given of the applications of the procedure to several areas of interest in the field of time series analysis. ...

In recent years, the field of embodied intelligence has witnessed significant advancements, with applications ranging from autonomous robotics and ...

As CMMC deadlines approach, defense contractors are turning to AI and cloud tools to meet compliance requirements faster, ...