Learn how smart collars and sensors track vitals to ensure a longer, healthier life, and discover how they provide real-time ...

When combined with clinical markers, smartwatch data was able to help detect insulin resistance with nearly 90 percent ...

In most boardrooms, the final decision still comes down to a small circle of leaders weighing a narrow set of choices. Yet the problems they face now contain thousands, sometimes millions, of possible ...

New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results and how these tools may benefit diverse areas such as ...

Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...

Systems microbiology now generates data at unprecedented scale across microbial community composition and function, host biology, and environmental ...

Coordinating groups of underwater robots is difficult because communication below the surface is slow and unreliable. GPS ...

The National Bureau of Economic Research has published a new working paper by economists Ali Shourideh (Carnegie Mellon ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

Abstract: A general problem in multi-node systems is data synchronization, where the most used method uses synchronous data updating. All changes made by the user are immediately reflected in the data ...

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...