Sentence examples for artificial computing from inspiring English sources

"We hope to learn how living neural networks may be applied to the artificial computing systems of tomorrow," says Dr Potter.

This type of evidence induced artificial intelligence researchers to re-design the artificial computing system architectures, from monolithic and hierarchical structures toward networked and component distributed environments.

Furthermore, it is crucial to better understand the representation and transformation performed by these models to identify their limitations and compare them accurately with their biological counterparts, thereby reducing the performance gap between biological and artificial computing.

With the emergence of computational approaches in the 1950's and 1960's, and with the triumph of the von Neumann architecture as the basis for artificial computing devices, this search could be formulated as an effort to propose what Newell called "a unified architecture for cognition".

It is difficult to place a relatable context around the exponential growth of cheap, artificial computing power in our lifetimes.

Of course, the most familiar artificial computing systems are made from silicon chips or similar materials, whereas the human body is made from flesh and blood.

While copying the behaviour of animals, rather than their physical abilities, is a newer development, animal attributes have long informed fields such as artificial intelligence, computing and robotics.

In technology, I am looking for manuscripts addressing robotics and artificial intelligence, computing, nanotechnologies, virtual and augmented reality, human enhancement, and autonomous, networked, mobile, or embedded technologies.

This requires components for artificial intelligence computing in these systems.

Figure 4 Comparison results between W-SD and W-HSD for artificial image, computing times: 164.75 s (W-SD) and 30.43 s (W-HSD).

The company was an early and aggressive advocate of self-driving vehicles, so much so that it eventually pushed global automakers and numerous tech companies to pour vast resources into their own software, artificial intelligence, computing systems and sensors for autonomous cars and trucks.