Emerging technologies such as edge computing, AI, and distributed learning have reshaped the design of cyber-physical ...

The culprit isn't computational power or model sophistication — it's data variety. While enterprises rush to deploy large language models and agentic systems, they're discovering that the messy, ...

A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle ...

While some business leaders buy large language models, others build their own. Here are five things you need to know.

As enterprise data volumes continue to surge, not all data carries the same urgency,or the same storage requirements. While ...

Quality shifted left. Security shifted left. Data is next. When data contracts join the CI gate, teams finally ship faster and sleep better.

Particularly, we apply a multidimensional adverse selection model from contract theory to model the data set trading between DVs and SPs. The DV's surplus maximization problem is solved in the ...

The cor-relation between adjacent resolution units is ignored directly. To address that, we propose a new model-data-driven network to achieve tomoSAR imaging based on multi-dimensional features.

More simply, dimensional data modeling is an approach to data warehouse design that organizes information to simplify end user queries rather than data ingestion. It uses the concepts of facts (things ...

Pure Storage, the IT pioneer that delivers the world's most advanced data storage technology and services, is introducing Enterprise Data Cloud (EDC), a new standard in data and storage management ...