MIT researchers introduce a technique that improves how AI systems explain their predictions, helping users assess trust in critical applications like healthcare and autonomous driving.

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 ...

People's decisions are known to be influenced by past experiences, including the outcomes of earlier choices. For over a century, psychologists have been trying to shed light on the processes ...

Pentagon warns Anthropic over military use of its AI model. Dispute centres on safeguards around surveillance and autonomous ...

Nano Banana 2 is Google's best AI image model yet, powered by Gemini 3.1 Flash Image and you can now use it for free on ...

Amazon's new AI chief Peter DeSantis focuses on cost-cutting with in-house Trainium and Inferentia chips as stock drops 8% ...

Artificial intelligence models have provided an additional “tool in the toolbox” for meteorologists working to predict hurricanes in the Atlantic. The US-based National Hurricane Centre began to ...

Every Indian AI model is graded on benchmarks built in San Francisco. GPT-5 scores below 40% on Indian cultural reasoning.

Hasbro CEO says the company is using AI models based on its own characters, including Peppa Pig & Optimus Prime, to help ...