"efficient information processing" is correct and usable in written English.
You can use this phrase when referring to processes or procedures that involve gathering, organizing, and using data or information in an efficient manner. For example, "The new software will help to optimize our efficient information processing."
In the present era of Big Data the demand for developing efficient information processing techniques for different applications is expanding steadily.
At least for now, advances in artificial intelligence tend to come from computer science (driven by its longstanding interest in practical tools for efficient information processing), and occasionally from psychology and linguistics (for their insights into the dynamics of thought and language).
Recent studies have suggested that human brain functional networks are topologically organized into functionally specialized but inter-connected modules to facilitate efficient information processing and highly flexible cognitive function.
Data-aware techniques to reduce energy by efficient information processing [5, 6].
Systematic encoding which is represented in Eq. (4), enables efficient information processing by reducing the computational complexity at the decoder and encoder side.
Efficient information processing is therefore crucial for success in a permanently fluctuating environment.
Information technology has a great capacity to support efficient and effective information processing in aged care [ 3, 4], yet its use has been limited [ 4- 7].
The neocortex holds a significant advantage over any man-made device as a computationally powerful and energy-efficient information processing system (Laughlin and Sejnowski 2003) and displays exquisite structural complexity in the ramifications of axonal and dendritic arbors of the neurons that compose it (Gilbert and Wiesel 1979; Ramón y Cajal 1989).
In addition, more efficient information-processing techniques can be expected to shorten radically the feedback loop that tests the accuracy of original observations and decisions.
In 1997, for efficient fuzzy information processing relevant in earthquake engineering, the principle of information diffusion to deal optimally with recognizing the underlying relationships from a small sample was suggested.
First-stage feature computation and data rate reduction play a crucial role in an efficient visual information processing system.
