Sentence examples for by computational systems from inspiring English sources

Our culture is being catalogued and interpreted by computational systems in ways to which we should be paying attention.

This paper has argued that the next logical extension of SA is IA, or the independent analysis and awareness of intentions by computational systems that augment the human actor.

Motivation: Understanding gene regulation in biological processes and modeling the robustness of underlying regulatory networks is an important problem that is currently being addressed by computational systems biologists.

Considering the application aspects of high-performance calculations, one may conclude that the industrial codes yet cannot use perfectly all the resources that can be given by modern massive computational systems.

Such resources can facilitate the sharing of much more relevant and useful information than can traditional methods such as publications: small facts and negative results can be published via web-based systems more widely and efficiently than via scientific literature, and they can be managed by means of computational systems that can provide credit for their generation [ 41].

In the same way, a summary produced either manually by a human or automatically by a computational system has to consist of those characteristics that will captivate human attention and embody elements, which will assist the development of the plot.

A system whose principal function is not computational, but is controlled by a computational system embedded within it is referred to as a computational embedded system, which is usually shortened to embedded system.

Immune algorithm (IA) is a set of computational systems inspired by the defense process of the biological immune system.

AIS are computational systems inspired by theoretical immunology, observed immune functions, principles and mechanisms in order to solve problems.

First, to provide an information gateway for the DC research community that enriches proprietary and public information through annotations and search functions and provides focused information set for consumption by its researchers and other computational systems.

Krafcik also says that its decision to build out all of its sensor suites in-house has a significant talent benefit, since it means that it'll now have deeply knowledgeable experts in each key sensing area, who can work closely with resources on the AI engineering side to ensure the best possible use of the gathered data by the car's in-vehicle computational systems.