Abstract In order to improve network performance, including reducing computation delay, transmission delay and bandwidth consumption, edge computing and caching technologies are introduced to the fifth-generation wireless network (5G). However, […]
AI Inspired Intelligent Resource Management in Future Wireless Network Read More »
Abstract Game AI competitions are important to foster research and development on Game AI and AI in general. These competitions supply different challenging problems that can be translated into other
A Game AI Competition to foster Collaborative AI research and development Read More »
Abstract Medical image processing algorithms have traditionally focused on a specific problem or disease per modality. This approach has continued with the wide-spread adoption of deep learning in the last
Universal multi-modal deep network for classification and segmentation of medical images Read More »
Abstract What begins as an undifferentiated space becomes a place as we get to know it better and endow it with value, space is freedom [1]. The context for this
Abstract The use of lower precision has emerged as a popular technique to optimize the compute and storage requirements of complex deep neural networks (DNNs). In the quest for lower
TiM-DNN: Ternary In-Memory Accelerator for Deep Neural Networks Read More »
Abstract Machine learning is known as the scientific study of various algorithms and statistics as well as models that can be used to create or perform certain tasks. These tasks
Abstract We propose a way to learn visual features that are compatible with previously computed ones even when they have different dimensions and are learned via different neural network architectures
Towards Backward-Compatible Representation Learning Read More »
Abstract Goal: The aim of the study herein reported was to review mobile health (mHealth) technologies and explore their use to monitor and mitigate the effects of the COVID-19 pandemic.
Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic? Read More »
Abstract This article presents key technological advances in digital agriculture, which will have a significant impact. Artificial intelligence-based techniques, together with big data analytics, address the challenges of agricultural production
The Future of Digital Agriculture: Technologies and Opportunities Read More »
Abstract Rotating machinery fault diagnosis problems have been well-addressed when sufficient supervised data of the tested machine are available using the latest data-driven methods. However, it is still challenging to
Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning Read More »
