One of the biggest risks to any AI tool is data integrity. Cybersecurity is built on the CIA triad of confidentiality, ...

The downsides are real, but these aren't deal-breakers. Scaling data AI monetization with free models means owning the full ...

CodexField launches an ai resource infrastructure for secure, transparent sharing and attribution of data, models, and ...

That means someone tucking certain documents away inside training data could potentially manipulate how the LLM responds to prompts, although the finding comes with significant caveats. The research ...

Every company wants to make breakthroughs with AI. But if your data is bad, your AI initiatives are doomed from the start.

So-called “unlearning” techniques are used to make a generative AI model forget specific and undesirable info it picked up from training data, like sensitive private data or copyrighted material. But ...

Register now for this three-part course taught by data expert Jeff Adler, vice president of Yardi Matrix, and gain the tools ...

The model-to-data framework allows AI models to access governed data across on-premises or cloud environments without ...

Long-term weather forecasting is a difficult task, partly because weather systems are inherently chaotic. Though mathematical ...