Uncertainty is an intrinsic part of neural computation, whether for sensory processing, motor control or cognitive reasoning. For instance, it is impossible to determine with certainty the age of a ...

Even though PGMs reduce memory complexity of full joint distributions and can therefore make inference algorithms like variable elimination or the junction tree algorithm tractable in some cases, the ...

Many organisms can predict future events from the statistics of past experience, but humans also excel at making predictions by pure reasoning: integrating multiple sources of information, guided by ...

Among many proposed new device concepts and architectural designs, there is increasing interest in a fundamentally different form of brain-like logic based on probabilistic inference that is far more ...

Revolutionary Analog-based Probabilistic Inference Devices for Unconventional Processing of Signals for Intelligent Data Exploitation. OK, so it’s no RADAR, SONAR or LASER (invented by the same folks ...

A collaboration including the University of Oxford, University of British Columbia, Intel, New York University, CERN, and the National Energy Research Scientific Computing Center is working to make it ...

In the 1950s and '60s, artificial-intelligence researchers saw themselves as trying to uncover the rules of thought. But those rules turned out to be way more complicated than anyone had imagined.

Alex Burmester does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...