Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...

To understand complex brain processes, there is a clear need to shift from traditional single-cell studies of trial-averaged responses to single-trial analyses of multiple neurons. In this respect, ...

Information theory provides a mathematical framework for quantifying information and uncertainty, forming the backbone of modern communication, signal processing, and data analysis. Central to this ...

With the help of a new experiment, researchers at Linköping University, among others, have succeeded in confirming a ten-year-old theoretical study, which connects one of the most fundamental aspects ...

For decades, physicists have faced one of science’s greatest puzzles: merging quantum mechanics, which describes tiny particles, with general relativity, which explains the universe’s vast structures.

We live in the Information Age. Some physicists believe that information is a fundamental aspect of nature. All such theories rest on the adequacy of information theory. In this post I shall argue ...

The polymath Christoph Adami is investigating life’s origins by reimagining living things as self-perpetuating information strings. There are few bigger — or harder — questions to tackle in science ...