Proportional with an acceleration of temporal compression is an acceleration of functional complexity, operational elements of what I refer to as the "convergence syndrome".  As a process dynamic, technologies, belief systems, cultural and societal paradigms, even the very definitions of life itself, are becoming ever more synergistically interconnected, and irreversibly interdependent.  In this emergent domain, nothing is isolated or autonomous.   This convergence phenomena has spawned the most powerful tools of creation ever invented, which have synergistically accelerated the human species into a realm of transformation which, in just the past decade, supercedes all of the 2 ½ million years of human socio-technological evolution preceding this moment in time.  

Evolution tends to be a trauma induced process; that is, provided the periodicity and amplitude of the encountered trauma cycles do not exceed the response capacity of the challenged system, the system will tend to become more robust. What is most significant, however, is that from the perspective of being here on this world, at this moment, never before in the known history of this world and its inhabitants have the threshold drivers of transition, by which the very future of this world are about to be determined, been within the reach of its inhabitants.

Nanotechnology is already here.   The biotech industry provides much of the self assembling, self organizing biomolecular materials which enables the first “layer” of nanotech applications, among which is the next generation of nanocomputing platforms.  This next generation of computing capacity will directly fold back into the biotech industry, an IT centric industry heavily dependant on  supercomputing capacity pushed to its ultimate limits.  

The diagram shown below indicates the relationshsips between computationally intensive bioinformatics and in-silico biology (note the biological sytem cellular "schematic"), proteomic molecular components which are directly applied to biomedical genopharmacology, and "structural proteomics" applied to next generation computing platforms which are constructed with these proteomic materials.        

Current bioinformatics systems are heavily dependant on biological metaphors in computing, processes which mimic biology, such as neural networks, evolutionary algorithms, and other biologically inspired mechanisms.   Note the actual volumetric screenshot of a self-evolved neural network.