Sentence examples for a computational system can from inspiring English sources

If at a high enough level a computational system can effectively be described as being interactive, autonomous and adaptive, then it can be held accountable according to Floridi and Sanders (p. 352).

Researchers in the field of natural language processing have been working on the problem of human computer interaction through language for some time now, but we have a long way to go before our computational systems can rival humans.

ANN can be thought of as a "computational system" that accepts inputs and produces outputs (Baughman 1995).

With the availability of genomic sequences from a growing number of human and model organisms and the rapid expansion of the public repositories holding large-scale gene expression datasets, a computational systems analysis of developmental toxicology can incorporate this vast digital information toward the realization of predictive models for complex disease.

Computational failures exist in any computational system and can compromise the application execution, especially on a processing grid with intensive computing demand (months of computation).

As we recently described when we named reinforcement learning one of our 10 breakthrough technologies of the year, the firm is one of several companies leading a charge to develop computational systems that can program themselves, and it's those systems that will be tested in BMW vehicles later this year.

Thirdly, CA are computational systems: they can compute functions and solve algorithmic problems.

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].

The computational and data-intensive challenges presented by the requirements of a SSA system can be met using a cloud-based computational approach.

The optics and computational module of a programmable imaging system can be controlled via software to perform a wide range of imaging functionalities.

The resulting Skin Sensitization PhysioLab is thus an important attempt to integrate data derived from different forms of nonanimal hazard data to inform new skin sensitization risk-assessment decisions and demonstrates how computational Systems Toxicology can contribute to hazard evaluation in a new framework for consumer safety risk assessment.