The new resource clarifies why PDF is a superior source for AI data mining due to its high information density and rich ...

Autonomous vehicles generate oceans of video and sensor data every day, but most of it sits unstructured and underused.

We used Tonic Fabricate to generate a fully synthetic email corpus, then RL fine-tuned an open-source model against it. The ...

CoinDesk Research maps five crypto privacy approaches and examines which models hold up as AI improves. Full coverage of ...

Artificial intelligence has hovered between promise and practice in the broadcast industry for several years. ... Read More ...

Explore the significance of drug–target interactions in drug discovery and the challenges of fragmented data in research.

As with the rest of the technology landscape, artificial intelligence – and in particular, agentic AI – came to dominate the conversations at the Cloud Native Computing Foundation’s recent flagship ...

While there isn’t evidence that deepfake radiographs have caused disruption in health systems yet, some radiologists say now ...

Abstract: Effective metadata management is fundamental to data governance, ensuring that data assets are discoverable, understandable, and usable across the enterprise. However, traditional metadata ...

Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...

Repository for the CE-RISE DMP & DPP Record Metadata data model, part of the DMP & DPP Metadata Layer in the Digital Material and Product Passport architecture. This model provides a universal ...

Metadata management has become the practical dividing line between AI systems that scale and those that stall. As organizations push AI from experimentation into sustained production, the limiting ...