The global economy is in the middle of a glow-up, and the fuel isn’t oil barrels or factory floors, it’s raw, restless data. Every digital interaction.

You don’t have to go it alone when searching for and maintaining the perfect batch. Through machine learning and AI-based batch control, the arduous search becomes easier to realize.

Abstract: This paper examines the applicability of the Bat Algorithm (BA) and its variants as optimization frameworks for various image segmentation paradigms. Rather than introducing a new ...

Abstract: This paper investigates the problem of energy beamforming for wireless power transfer (WPT) using dynamic metasurface antennas (DMAs).We propose a novel solution based on the bat algorithm ...

This is a modified version of pyDRTtools with added batch run and import functionality. The original work was developed by Francesco Ciucci and Adeleke Maradesa from ciuccislab. Note: This fork adds ...

1 Department of Mathematics and Statistics, Loyola University Chicago, Chicago, IL, USA. 2 Department of Mathematics and Computer Science, Islamic Azad University, Science and Research Branch, Tehran, ...

Deep learning may need a new programming language that's more flexible and easier to work with than Python, Facebook AI Research director Yann LeCun said today. It's not yet clear if such a language ...

The behavior of cold start handling in ranked batch sampling seems different from the Cardoso et al.'s "Ranked batch-mode active learning". In modAL's implementation, in the case of cold start, the ...