Artificial intelligence (AI) is a powerful force for innovation, transforming the way we interact with digital information. At the core of this change is AI inference. This is the stage when a trained ...
Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...
AI inference at the edge refers to running trained machine learning (ML) models closer to end users when compared to traditional cloud AI inference. Edge inference accelerates the response time of ML ...
Artificial intelligence (AI) relies on vast amounts of data. Enterprises that take on AI projects, especially for large language models (LLMs) and generative AI (GenAI), need to capture large volumes ...
Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. Inferences, love them or hate them. You decide. One thing that ...
Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...
The fifth in a series recapping key sessions from the Data Center Frontier Trends Summit 2025 (Aug. 26–28), held Sept. 26, ...
Artificial intelligence computing demand is shifting as more people use the technology, and it is expected to push data centers closer to population centers. Big Tech’s AI arms race has sparked a data ...
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