The specific results suggest that hybrid nanotechnology such as CMOL is a promising candidate to implement very large-scale spiking neural systems, providing a more efficient utilization of the density and storage benefits of emerging nano-scale technologies.
Once we started scraping on a large scale, they decided to implement very minor obstacles, which were still far from enough.
The scale of projects sound similar to the early days of CRM where it could only be implemented by very large organizations.
The approach is effective for data reduction, but it requires to be implemented with very large-scale cluster data deduplication systems [12].
With some necessary modifications, some global methods also implemented in the very large scale integration circuit [14, 15] at the expense of considerable high consumption of logic source, memory and bandwidth.
New software run by a WWW server was designed and implemented to allow very large image data sets, such as the digital mosaic, to be easily viewed interactively, including the ability to roam throughout the digital mosaic at the web site in either compressed or full 1-m resolution.
Compared to complex and repetitive manipulations in the set partitioning in hierarchical tree (SPIHT) coding and the vector quantization (VQ), the proposed algorithm has advantages of simple manipulations and a feedforward structure that would be suitable to implement on very-large-scale integrated circuits and general microcontrollers.
The method is also easy to implement and can handle very large compound data sets.
As is well known, conventional NNs can be implemented by circuits: the Hopfield NNs models [1] can be implemented in a very large-scale electronic circuit where the self feedback connection weights are implemented by resistors, in which resistors are applied to emulate neural synapses.
In a high throughput EMT production environment, implementing wSIRT with a very large number of tilt exposures might be difficult to carry out as a routine process.
This paper proposes a kind of pipelined electric circuit architecture implemented in FPGA, a very large scale integrated circuit (VLSI), which efficiently deals with the real time non-uniformity correction (NUC) algorithm for infrared focal plane arrays (IRFPA).
