When AI can explain its why, not just its what, hospitals can have greater success in adopting these tools at scale.

One of the biggest challenges with artificial intelligence today is the quality of data. Many models were trained on the internet, full of falsehoods and lies. This is particularly a problem in ...

One of the biggest challenges with artificial intelligence today is the quality of data. Many models were trained on the internet, full of falsehoods and lies. This is particularly a problem in ...

At Parloa, the model is different: transparent, per‑minute consumption pricing, not outcome-based revenue sharing.

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

With AI Software Integrity Builder, Keysight empowers engineering teams to move from fragmented testing to a unified AI ...

Artificial Intelligence has moved from the periphery of banking to its core. Credit decisions, fraud detection, risk scoring, collections, customer service, and even regulatory reporting now rely on ...

There's a new player in the AI race, and it's a whole country. Switzerland has just released Apertus, its open-source national Large Language Model (LLM) that it hopes would be an alternative to ...

AI Models Least & Most Likely to Invent Information, Based on Hallucination Rates Your email has been sent OpenAI’s latest AI models are outpacing competitors from Google, Anthropic, xAI, and Meta in ...

Claude shows limited introspective abilities, Anthropic said. The study used a method called "concept injection." It could have big implications for interpretability research. One of the most profound ...