Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

Researchers have successfully employed an algorithm to identify potential ... identifies "open" regions of the genome, and PRINT, a deep-learning-based method to detect these types of footprints ...

We’re developing a deep learning model that should be able to predict the plasma’s behavior in a split second, but this is still a work in progress. In the past couple of years, my group has developed ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

Our client, a non-profit conservation organization dedicated to the sustainable management of protected areas in partnership with governments and local communities, is currently seeking a Technology ...

DLSS (Deep Learning Super Sampling) is an AI upscaling technology formally exclusive to Nvidia's GeForce RTX graphics cards. The technology uses AI to improve performance in real time and offers ...

These environments, characterized by dense crowds and dynamic movements, are underrepresented in public datasets, posing challenges for existing deep learning models ... eight state-of-the-art object ...

This work introduces an innovative 5G-enabled UAV-Cloud Architecture empowered by deep learning for service selection. The architecture integrates two main modules: (i) A game theory-based module, ...