The phrase "artificial systems that" is correct and usable in written English.
You can use it when discussing or describing various types of artificial systems, such as technological, biological, or computational systems.
Example: "Artificial systems that mimic human behavior are becoming increasingly sophisticated in their design and functionality."
Alternatives: "synthetic systems that" or "man-made systems that".
Bionics, science of constructing artificial systems that have some of the characteristics of living systems.
Artificial systems that exploit both biological and abiological material for function are discussed.
Such aspects permit the design and assembly of artificial systems that efficiently process solar energy, replicating the natural processes.
The undergraduate program in Symbolic Systems is an interdisciplinary program focusing on the relationship between natural and artificial systems that represent, process, and act on information.
The undergraduate program in Symbolic Systems is an interdisciplinary program focusing on the relationships between natural and artificial systems that use symbols to communicate and to represent information.
The creation of artificial systems that can see, speak, understand language, lip-read, appreciate art, understand emotions, plan, and so on is one of the greatest challenges in science, much harder than going to the planets.
In a nearby lab, chemist Peidong Yang is building an artificial system that does the same, using arrays of nanowires coupled with engineered bacteria.
In this article we address an artificial system that relies on knowledge from previous human object grasping demonstrations.
Due to advancements in technology, many integrated circuits are fabricated to develop an artificial system that could perform "intelligent" tasks similar to those performed by the human brain.
In this work we report on the implementation of an artificial system that is able to undergo a reversible transition between dispersed and aggregated state, using the principles of "remote control" by radiofrequency (RF) signals.
The meaning of the terms "universal" and "anytime" is manifold here: the test should be able to measure the intelligence of any biological or artificial system that exists at this time or in the future.
