Speech recognition accuracy benchmarks report low error rates while leaving the most critical words wrong. Researchers now ...

AI models without strong business context risk costly errors, but vendor approaches to “context” vary. Enterprises must take ...

AI technologies are a big part of this effort: analyzing retail data, making product recommendations, and automating ...

Negative news coverage is one of the most stubborn reputation problems a business can face, and one of the least understood ...

Recent public comments made about AI suggest that Americans have difficulty with the implications of linear time. This is odd given that its conception is largely Western and is centered on the clock ...

A new framework called SkillWeaver tackles AI agent tool routing by skipping full-library loading, cutting token use 99% on ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

After a remarkable financial rebound, Anaplan faced its next challenge - the “SaaS Apocalypse.” Charlie Gottdiener, CEO of Anaplan, believes this is overblown.

UC Berkeley's PixelRAG renders pages as screenshots instead of parsing text, boosting RAG accuracy by up to 18.1% and cutting AI agent token costs 10x.

Don't just choose between patching up your current tech or building from scratch. Use quick AI wins to fund and plan your big architectural changes.

AI models can be ‘like schizophrenic geniuses,’ says CEO who raised $100 million in round led by Khosla Ventures.

CXL memory expanders give new life to DDR4 memory.