The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Bayesian analysis is being used with increasing frequency in critical care research and brings advantages and disadvantages compared to traditional Frequentist techniques. This study overviews this ...

Abstract: Underwater target detection and its development have an important role in advancing marine science and technology. However, the complex and dynamic underwater environment poses challenges ...

Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

Incrementality testing in Google Ads is suddenly within reach for far more advertisers than before. Google has lowered the barriers to running these tests, making lift measurement possible even ...

Engineers debuted a new framework introducing computational tools and self-reflective AI assistants, potentially advancing fields like optical computing and astronomy. (Nanowerk News) Hyper-realistic ...

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...

Binary outcomes are frequently encountered in a variety of fields and contexts and the Bayesian approach is widely used to analyze this type of data. Under this framework, a beta prior distribution ...

The Langlands program has been described by mathematician Edward Frankel as the “grand unified theory of mathematics.” Conceived by Robert Langlands in 1967, the program includes numerous conjectures ...