Space exploration fills our heads with dreams of discovering the unknown, but analyzing the massive amounts of data collected ...

Introduction: Workplaces Enter the Age of Intelligence The way we design offices is changing dramatically. What was once the ...

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 ...

The advent of artificial intelligence (AI) has revolutionized many sectors, including robotics. One of the most fascinating ...

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. ...

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

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