For humans and machines, intelligence requires making sense of the world — inferring simple explanations for the mishmosh of information coming in through our senses, discovering regularities and ...

Reasoning, decision making, and assurance advances artificial intelligence to enable autonomous systems to make reliable, safe decisions in complex, uncertain environments. This area combines AI with ...

As the way of managing enterprise data assets evolves from simple accumulation to value extraction, the role of AI has shifted accordingly: it is no longer limited to basic data processing and ...

Intelligent systems may encounter environments characterized by varying levels of uncertainty, limited visibility, and continuous shifts. As these systems expand into areas such as autonomous mobility ...

We propose that synapses may be the workhorse of the neuronal computations that underlie probabilistic reasoning. We built a neural circuit model for probabilistic inference in which information ...