How does access control ensure users see only what they’re allowed to when AI blends data from multiple sources?

Although smaller in size, the more focused nature of SLMs can make them more effective. There are two main forms - either ...

Amid growing controversy over how tech giants harvest user data for AI, the Allen Institute for AI (AI2) has introduced a ...

Artificial intelligence (AI) is playing a huge role in heat rate optimization. In some cases, AI-driven models have analyzed ...

New on-premises grammar engine to revolutionize enterprise language accuracy using proprietary data Tel Aviv, Israel, July 11, 2025 (GLOBE NEWSWIRE) -- Viewbix Inc. (Nasdaq: VBIX) (“Viewbix” or the ...

Earlier this spring, Alberta Technology and Innovation purchased more than 30 powerful H100 Nvidia AI graphics processing ...

Neuenfeldt: We’re working with data standards like CIM (Common Information Model) 61 970, 301 for normalization and alignment, and the emerging 61 850 standard for smart grids. The goal is to ...

The same EDB research revealed that 51% of business leaders say it's "full steam ahead" for AI experimentation with data modeling, and 63% view AI-enabled data workloads as critical for tackling ...

Web2’s data monopolies lock users into centralized systems, limiting control over personal information and hindering competition. This decentralized AI personalization protocol offers an alternative ...

Monitor and control; Data governance vs. data management. ... It uses prebuilt data models, rules, workflows, and user interfaces to help users quickly deploy tasks.

Some companies believe they can scale the data wall by using synthetic data — that is, data that is itself generated by A.I. systems — to train their models.