To train artificial intelligence (AI) models, researchers need good data and lots of it. However, most real-world data has already been used, leading scientists to generate synthetic data. While the ...

On September 11, at the 2025 Bund Conference, Wang Xingxing, founder of Yushu Technology, stated that both data and model architecture are equally important. However, there is still a lack of clear ...

While companies may share common ground when it comes to their data quality problems, data quality tools and strategies are not one-size-fits-all solutions to the problem. Each company should approach ...

Technological advancements in life sciences have not been paralleled by data management infrastructure, causing inefficiencies in data utilization and decision-making. Agentic AI offers transformative ...

Get the latest federal technology news delivered to your inbox. Positioning high-quality data as the foundation of the Department of Defense’s work to scale artificial intelligence technologies across ...

We rate Uber drivers, restaurants, Amazon delivery, and much more, but when it comes to our own health experience, we often have little to no data. That’s especially scary because the business model ...

How to address poor internal and external data quality for your business Your email has been sent Between responding to supply chain disruptions, pivoting in the economic slowdown, reacting to ...

The Personal Information Protection Commission announced on the 22nd that the national task of "Establishing a Personal ...

The business world is highly competitive because many companies offer similar products and services. Businesses often wonder how to gain a competitive advantage. The answer lies in leveraging data and ...

End-to-End Hardware and Software Solution Delivers the Most Accurate and Reliable Timing for Data Centers, Networking and Communication Systems SiTime Corporation (NASDAQ: SITM), the Precision Timing ...