Deep learning techniques do a good job at building models by correlating data points. But many AI researchers believe that more work needs to be done to understand causation and not just correlation.

With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

Artificial intelligence is making progress in the medical arena. When it comes to imaging techniques and the calculation of health risks, there is a plethora of AI methods in development and testing ...

Machines can learn not only to make predictions, but also to handle causal relationships. An international research team shows how this could make therapies safer, more efficient, and more ...

Susan C. Athey is an economist who has studied ways to analyze digital markets and policy by connecting economic theory, ...

Is the statement 'increasing advertising spend led to increased sales' truly a correct causal relationship? Or is it merely a spurious correlation where a common factor (confounder) like 'bonus season ...