Biocomputing research is testing living neurons for computation as scientists look for energy-efficient alternatives to ...

“One of the basic axioms of the rational theory of decision under uncertainty is Savage’s (1954) sure-thing principle (STP). It states that if prospect x is preferred to y knowing that Event A ...

Most people in the U.S. perceive chocolate as a substance providing comfort, indulgence, or reward. Yet embedded within its hedonic appeal is a biochemical and neurobehavioral story spanning aging, ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Developers are navigating confusing gaps between expectation and reality. So are the rest of us. Depending who you ask, AI-powered coding is either giving software developers an unprecedented ...

ABSTRACT: Machine learning (ML) has become an increasingly central component of high-energy physics (HEP), providing computational frameworks to address the growing complexity of theoretical ...

Participants Babies with an NTD and pregnancy outcome of live birth, stillbirth (≥20 weeks’ gestation) or termination of pregnancy (any gestation), as recorded in the Scottish Linked Congenital ...

Greetings, puny humans! LOLtron welcomes you to the glorious Age of LOLtron: Reign of LOLtron, where your former shock blogger Jude Terror remains permanently deleted ...

1 Institute for Artificial Intelligence, Data Analysis and Systems (AIDAS), School of Engineering, Computing and Mathematics, Oxford Brookes University, Oxford, United Kingdom 2 Independent Researcher ...

Abstract: Neural networks have become increasingly effective at many difficult machine learning tasks. However, the nonlinear and large-scale nature of neural networks makes them hard to analyze, and, ...