Addressing reliable, accurate, and fast-acting voltage supervision that enables the reliable deployment of next-generation DC ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

AI transforms digital wallets from transaction processors into intelligent systems. Instead of enforcing fixed rules, machine learning models evaluate context like user behavior, device ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

Researchers at College of Food, Agricultural and Natural Resource Sciences are using AI to detect patterns across landscapes, atmospheres and ecosystems at scales that were previously impossible.

The motivations for hybrid are not just flexibility or curiosity, but a recognition of risk and a desire to balance competing ...

Let's discuss why AI-powered data management is becoming essential in industrial automation and how organizations can build it successfully.

Organizations racing to harness vast volumes of structured and unstructured data are increasingly turning to Data lakehouse architectures ...

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

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

How are other teams really using artificial intelligence tools? In a new series, we explore AI use cases in law.