light-weight Bayesian convolutional neural networks for image segmentation. They extend a number of ideas from state-of-the-art alternatives and encapsulate them with Bayesian inference through Monte ...

Artificial Intelligence (AI) and automation are central to Industry 4.0, driving complex decision-making, optimization, and ...

Researchers used single-cell and spatial genomics to map cell-type-specific changes in the middle temporal gyrus, identifying ...

Researchers introduced Controllable Autoregressive Modeling (CAR), a new framework that improves control and efficiency in ...

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

GDDR7 is the state-of-the-art graphics memory solution with a performance roadmap of up to 48 Gigatransfers per second (GT/s) ...

The number of approaches to process AI inferencing is widening to deal with unique applications and larger and more complex ...

One of these skills is called inference. Inferring is a bit like being a detective. You have to find the clues to work out the hidden information. Imagine the main character in a story skips into ...

What is a credit card network and how does it work? Lindsay VanSomeren is a credit, credit card, and banking expert with almost a decade of experience writing for prominent personal finance sites ...

Series of paleomaps visualising the geographical and chronological aspects of the main events during the evolutionary history of the freshwater fish family Nemacheilidae across Eurasia. A red star ...

These are valuable findings for those interested in how neural signals reflect auditory speech streams, and in understanding the roles of prediction, attention, and eye movements in this tracking.

Complex networks are networks that feature patterns of connection between their elements that are neither purely regular nor purely random. Most real-world networks, such as transportation ...