Why advanced technology accelerates dysfunction when decision rights, workflows, and culture aren’t built to execute.

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Californian startup ODINN has unveiled an artificial intelligence (AI) supercomputer, the size of a carry-on, on the eve of ...

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From data poisoning to prompt injection, threats against enterprise AI applications and foundations are beginning to move from theory to reality.

Recent lawsuits by Dow Jones, the New York Post, the New York Times and Amazon against AI search engine Perplexity ...

New research explores how artificial intelligence foundation models trained on electronic health record data can be tested to ...

Because these models are trained on a retailer’s internal data, they respond with accuracy and consistency. That reliability ...

A new synthesis of seismic research shows that artificial intelligence, when combined with physical principles, is rapidly ...