In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

Explainability tools are commonly used in AI development to provide visibility into how models interpret data. In healthcare machine learning systems, explainability techniques may highlight factors ...

MIT researchers introduce a technique that improves how AI systems explain their predictions, helping users assess trust in ...

A new study suggests AI systems could be a lot more efficient. Researchers were able to shrink an AI vision model to 1/1000th ...

AI video is moving from novelty to practical use, with creators valuing stable workflows, refinement, and more control ...

The move could position the AI infrastructure powerhouse to quickly compete with OpenAI, Anthropic, and DeepSeek.

Artificial intelligence is rapidly transforming weather prediction, enabling forecasts that once required hours of supercomputing time to run in just minutes. But as AI tools play an expanding role in ...

Small Business Technology News #1 – A tech reporter stopped using ChatGPT for everything and found these AI models beat it at research, coding, and more. David Gewirtz of ZDNet makes a case for using ...

Enterprise IT teams are losing the battle against modern application failures. The problem isn’t a lack of monitoring tools. It’s that the tools they rely on were built for an infrastructure era that ...