Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

As AI demand outpaces the availability of high-quality training data, synthetic data offers a path forward. We unpack how synthetic datasets help teams overcome data scarcity to build production-ready ...

CoreWeave’s ARENA enables production-scale AI workload validation on GPU clusters that mirror live infrastructure, giving enterprises empirical insight into performance, cost ...

Read more about Privacy-by-design AI targets mind wandering and disengagement in digital classrooms on Devdiscourse ...

Researchers from the Peter the Great St. Petersburg Polytechnic University, in collaboration with specialists from the All-Russian Institute of Plant Protection, have developed an innovative ...

Users around the world have rushed to adopt artificial intelligence—especially in safety-critical fields—but a new study has revealed the hype has prioritized technology for technology's sake instead ...

The study examined the rise of eXplainable artificial intelligence between 2017 and 2023, a period of significant growth for ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

A Microsoft Research study suggests glass blocks etched with lasers could provide enduring data archives ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...