Based on Bayesian multi-sensor fusion, they developed a new full-probability deflectometric measurement method, which has reformulated the traditional measurement process as a Bayesian estimation ...

Thus, this study proposes an innovative multi-objective Bayesian optimization method that is informed by image and physical quantity data from fluid dynamics simulations to derive optimal wet etching ...

Translational neuroscience is deeply engaged with the notion that the brain functions on computational principles, including ...

Intuitive Machines LUNR is set to give its latest quarterly earnings report on Tuesday, 2025-05-13. Here's what investors need to know before the announcement. Analysts estimate that Intuitive ...

Furthermore, since only the last layer─the GP layer─is treated stochastically, the computational cost is significantly lower than that of fully Bayesian neural networks ... Recent advancements in ...

Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom Cambridge Centre for Advanced Research and Education in Singapore, CARES Ltd., 1 CREATE ...

As you’ll no doubt be aware, these large language models work by gathering a vast corpus of text, and doing their computational tricks to generate their output by inferring from that data. They ...