Alternatively, other models have been developed to produce more sophisticated systems by applying soft computing techniques, the majority of which have rarely been used beyond classic problems, such as function optimization or approximation by genetic algorithms (GAs), or neural networks (NNs).
However, over the following decade, as processor speeds grew and computing techniques became more sophisticated, numbers approaching this size were factored, making it likely that, sooner rather than later, 1,024-bit moduli would no longer be safe, so the U.S. government recommended shifting in 2011 to 2,048-bit 2,048-bit
As we know, computer scientists can now build extremely sophisticated computing machines.
While multi-core systems, computing clouds, and other parallel processing techniques dominate current technology trends, elementary particles governed by quantum mechanics have been borrowed from the physicists' laboratory and applied to computer engineering in the efforts to solve sophisticated computing and communications problems.
Other optical computing techniques promise similar advantages.
That means that increasingly sophisticated computing has to be built into networking devices.
As ever in the technology field, it is all about using sophisticated computing skills to create real-world results.
This book examines those computing techniques.
Mixed models require somewhat sophisticated computing algorithms to fit.
As sophisticated computing insinuates itself into every slice of life, many have bemoaned it as a privacy-violating intrusion.
