Stewart Cheifet, the television producer and host who documented the personal computer revolution for nearly two decades on ...
CATS-Net (Concept Abstraction and Task-Solving Network) is a comprehensive framework for understanding and implementing concept abstraction in neural networks. The system combines supervised learning ...
WASHINGTON — The U.S. Space Force is moving to modernize the computer networks that underpin its operations, awarding new work under a $12.5 billion Air Force-led contract vehicle designed to overhaul ...
Abstract: Air cargo networks play a crucial role in global economic growth, but are often hit by unpredictable events such as wars and natural disasters. The aim of this study is to explore the ...
Continuing our look at the work of the IOWN project, we find out what use cases the next evolved generation of the infrastructure will support and which firms are likely to gain.
Abstract: Learning from data streams originating from non-stationary environments is vital for many real-world applications. A notable challenge in this task is concept drift. Most existing methods ...