The AI revolution that we’re currently living through is a direct result of the explosion in the amount of data that’s available to be mined and analyzed for insights. However, collecting data from ...

Researchers at the University of Pennsylvania and the Allen Institute for Artificial Intelligence have developed a groundbreaking tool that allows open-source AI systems to match or surpass the visual ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Synthetic data generation has emerged as a crucial technique for addressing various ...

Databricks Inc. today introduced an application programming interface that customers can use to generate synthetic data for their machine learning projects. The API is available in Mosaic AI Agent ...

Judge, Tunable Judges, and Judge Builder — are designed to help enterprises fine-tune agent performance and align AI behavior ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Edge Impulse, the leading platform for building, refining and deploying machine learning models to edge devices, has launched new capabilities that leverage ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

Teledyne FLIR, part of Teledyne Technologies Incorporated, today announced Prism AIMMGen™, its latest addition to the Teledyne FLIR Prism™ software family. Prism AIMMGen is an ITAR-free AI model ...

The generation of synthetic data in healthcare has emerged as a promising solution to surmount longstanding challenges inherent in the use of real patient data. By replicating the underlying ...

Delivering Data-Driven Precision and Equitable Artificial Intelligence Decision Tools in Oncology: Exploring the Informarker Concept Synthetic data generation (SDG) was proposed in the early nineties ...