Sentence examples for systems draw on from inspiring English sources

But some critics say the information artificial intelligence (AI) systems draw on is flawed.

Most risk assessment systems draw on a similar mix of criteria related to climate suitability, biology, undesirable characteristics and invasion history [16], [17].

This illusion of uniform velocity has been discussed within the motor theories of perception which holds that perceptual systems draw on implicit motor knowledge to process biological events [3], [12].

These systems draw on different methods of creating a pool of randomly mutated polymerases and are differentiated by the process used to isolate the most fit members.

These CDS systems draw on information contained in supporting knowledge database(s), which are often integrated with software algorithms that generate alerts during drug prescribing [ 8, 9] and may also address issues relevant for the administration process [ 10].

The author looks at diverse concepts and roles of trust in the challenge of decarbonising energy systems, drawing on 25 years of personal experience in the fields of energy and environmental policy research.

The objective of this article is to investigate the integrity of residential rainwater harvesting systems, drawing on the results of the field inspection of 417 rainwater systems across Melbourne that was combined with a survey of householders' situation, maintenance behaviour and attitudes.

'Guardians' of the world's systems drew on their real-world expertise to lead heated debates on governance and trade, business and finance, jobs, urbanization, media, health, the environment and food-water-energy nexus.

This article presents a conceptual framework that outlines the policy implications of medical tourism's growth for health systems, drawing on the cases of Thailand, Singapore and Malaysia, three regional hubs for medical tourism, via an extensive review of academic and grey literature.

For modeling the outer loop, next generation adaptive learning systems should draw on KST as a best practice.

Fred Trotter, technology director at the Cautious Patient Foundation, believes part of the problem is that much of the information that AI-driven systems have to draw on is flawed.