… rejoined the European Space Agency, where works as a research follow in the Advanced
Concepts Team. While his main focus is on applied artificial intelligence and evolutionary …

… Due to the huge scale of the SAGIN as well as some uncertainties of future aerial and space
segments’ structures, in this article, we only use a simplified network structure shown in Fig. …

… processes in time–space. It talks about how deep learning of time–space data is achieved in
… And furthermore, how this could be used to develop a new type of artificial intelligence (AI) …

… It is important to thank everyone who helped make this work possible, though time and space
would make any list incomplete, and regretfully these words are written too late for some to …

… This review focuses not only machine learning and DL (which … ) are included in the tailored
search space [205]. Recently, … search space is designed, including a module-level space …

… terminals, people will not only live in real physical space, but also stay in the digital virtualized
network. In this cyberspace, the boundaries between human and machines will be pre-…

The course of Artificial Intelligence (AI), is one of the standard course in all computer science
curricula at undergraduate programs, in many of masters programs, as well as taught a …

… artificial intelligence are selected and explored. This study aims to provide a review of artificial
intelligence … Since the encoder was failure for smaller space size operations, the decoder …

… Here we describe our recent release of the first large-scale dataset tailored to the
problem of image reconstruction using machine learning techniques. Our dataset includes …

… In combination with robotic platforms, the chemical space for novel reactions can be …
Artificial intelligence (AI) combined with new experimental technologies is expected to make the …