How CPU-based embedding, unified memory, and local retrieval workflows come together to enable responsive, private RAG ...

What if the future of AI wasn’t just smarter but also more private, efficient, and accessible? Enter EmbeddingGemma, a new open model designed to transform how text embeddings are generated and used.

What if the power of advanced natural language processing could fit in the palm of your hand? Imagine a compact yet highly capable model that brings the sophistication of retrieval augmented ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

How are businesses building, leveraging, and embedding AI into their day-to-day? This article discusses key considerations when building AI companies or procuring their services. As artificial ...

A new study used 3M person-days of Apple Watch data to develop a foundation model that predicts medical conditions with impressive accuracy.

This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...

Researchers have successfully trained a new AI foundation model capable of predicting medical conditions using Apple Watch data.

I was in a fast-food restaurant the other day, and the self-service kiosk was down. A handwritten note sent me to a register, where the employee explained that the cash register wasn’t working ...

Discover how AI is revolutionizing India's e-commerce by enhancing operations, improving seller experiences, and streamlining ...

Tech startup Atomic Canyon used the Frontier supercomputer to train nuclear-specific AI models to radically speed up document search and analysis capabilities for nuclear reactors. The AI models are ...