High-quality AI outcomes largely depend on how data is captured, ingested and contextualized, especially in AI that is purpose-built for your industry.

Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...

Iowa continues to have one of the highest cancer rates in the country, and state-funded researchers say a critical piece of ...

Single-trial approvals are raising the bar on trial design and execution. The new paradigm is pushing sponsors to plan ...

Everpure uses its first appearance since rebranding to target two problems its own customers and the diginomica network consistently flag as the real blockers to enterprise AI progress - data ...

Data access empowerment operating models enable public health leaders to make timely, informed decisions with trusted intelligence and faster insights.

NVIDIA Announces Open Physical AI Data Factory Blueprint to Accelerate Robotics, Vision AI Agents and Autonomous Vehicle ...

Researchers warn model collapse when AI trains on AI text; “photocopying a photocopy” leads to less varied outputs.

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

Since coming to market in the mid-1990s, the Subaru Outback has dominated the wagon/crossover segment. It’s carved out a unique position that made it the ideal middleground between a traditional ...

Synthetic data is moving from a niche technique to a practical requirement in Defence AI. The reason is not convenience. It is constraint. Operational data can be sensitive by nature, platforms may ...

The company mainly trained Phi-4-reasoning-vision-15B on open-source data. The data included images and text-based descriptions of the objects depicted in those images. Before it started training the ...