In the race to develop AI that understands complex images like financial forecasts, medical diagrams and nutrition labels—essential for AI to operate independently in everyday settings—closed-source ...

Is this the beginning of a smarter, faster, more inclusive AI future, or are we opening the door to problems we don’t fully ...

As enterprises expand into a multi-cloud ecosystem, the need for role-based data masking is growing exponentially. IT leaders ...

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 ...

A new urban 3D reconstruction method enhances Tomographic Synthetic Aperture Radar (TomoSAR) imaging using geometric semantics.

The dataset includes more than 50,000 samples of real, AI-generated and manipulated audio-visual content annotated with data ...

Adverse weather isn't just an edge case, but it's also a core challenge for AV developers, according to Digital Divide Data.

For India, the stakes are especially high. Startups such as Gan.ai, Gnani.ai and Soket AI Labs, selected to build foundation models under the IndiaAI Mission, face a unique challenge: how to curate cl ...