Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

In recent years, developing realistic and robust simulations of human-like agents has been a complex and recurring problem in the field of artificial intelligence (AI) and computer science. A ...

Abstract: Fast fully-quantitative tomographic image generation opens up new possibilities in research and practice. For different tasks, numerous images may have to be generated, such as for ...

OpenCV é a principal biblioteca de código aberto para a visão computacional, processamento de imagem e aprendizagem de máquina, apresenta também a aceleração de GPU para operação em tempo real. Aqui ...

December 14th 2021 sees the launch of Better Images of AI Image Library, which makes available the first commissioned and curated stock images of artificial intelligence (AI) in response to various ...