As AI continues to revolutionize industries, new workloads, like generative AI, inspire new use cases, the demand for efficient and scalable AI-based solutions has never been greater. While training ...

The standard guidelines for building large language models (LLMs) optimize only for training costs and ignore inference costs. This poses a challenge for real-world applications that use ...

Using the US Food and Drug Administration’s (FDA) plausible mechanism framework to allow for greater use of causal inference ...

Inference workloads are on course to consume a significant chunk of AI computing power in 2026. Intel is well positioned to capitalize on the growing demand for AI inference thanks to the efficiency ...