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 ...

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

Veel organisaties zien AI als dé technologie die alles op zijn kop zal zetten. Toch blijkt de échte uitdaging te liggen in ...

Vempala is a co-author of Why Language Models Hallucinate, a research study from OpenAI released in September. He says that ...

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 ...

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

"We've already run out of data," Neema Raphael, Goldman Sachs' chief data officer and head of data engineering, said on the ...

Commonly used models often excel on benchmark datasets but do not generalize across regions or varying wildfire conditions.

Top U.S. cancer centers have launched a federated AI platform, letting models learn from patient data securely to accelerate ...

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