A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Securing AI pipelines against data poisoning: a practical guide for technical teams Data poisoning is one of the more practical risks in AI security because it targets the pipeline rather than the ...

Despite C-suite optimism and more investment, there's a big gap between AI aspirations and enterprise readiness. The answer?

Smart manufacturing uses AI and real-time data to boost injection molding quality, cut costs and predict equipment issues.

Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...

Companies such as BTA Sports are focused on data, analytics, and decision-support tools that help users organize and ...

Let's examine a practical readiness framework for operations leaders can use to assess the data infrastructure before ...

Buyers shopping for a new 2026 pickup truck face a practical question that no glossy brochure can answer: which models are ...

As AI continues to advance, infrastructure must evolve to enable access and delivery of real-time information at scale.

AI systems rarely fail for one reason; they fail when real-world conditions introduce complexity that teams did not fully ...

On June 23, 2026, the U.S. Department of Justice (DOJ) and Department of Health and Human Services (HHS) announced the results of the 2026 ...

A proposed Springfield City Council resolution would require a 120-day delay before accepting or processing data center ...