Abstraction Biology Creates Design Breakthroughs

When past associative correlation can drive the unknown to the known are there other paths? Yes.

Edge constraints, back propagation, and many more " action " oriented systems are routinely created to navigate an environment to be interacted with and or to change it, and where designers, engineers, managing directors, finance professionals and any number of specific discipline users are part of any such system.

But what is the effect of only looking at problems / opportunities from the standpoint of the discipline that you are trying to see past. Well it ends up that one set of principals, biological thinking ( an abstraction / alternative window to say design thinking, systems thinking, etc,. ) is where we see two very specific ways that groups begin to look at environmental scenarios of interest. And biological thinking is one of many such alternative viewing systems.

Surprisingly when determining the type of outlook that a person, team, group, organization, etc., begins to have when completely different vocabulary is introduced and shared, is where a new way of looking an an entire environment can occur but how? Can Abstraction Help Ideation? Clearly bridging this gap of alternative models to biologically inspired design allows non-interlinear jumps, and all by looking back is where possible pattern matching can also be first taking place but is it specifically required? Surprisingly even more it becomes that Rules + Constraints & History + Abstractions are methods and where there are countless others and All part of a abstraction biology lens or any number of other lenses for underlying patterns to emerge. In the world of R&D this is the every day capability and mindset. Where can the next leap be made from ?

In more than one case the well known alternative combination and recombination of what can be considered rectilinear pieces to a puzzle is where the repurposing occurs and which is directly supplanted by data systems, storage systems, processing systems and interaction systems that come into being with new technological change. In this it is the completely different ( almost artistic and certainly evolutionary: seeking completely unexpected alternatives ) ways of thinking that allow for even more unique and valuable outcomes to emerge from in some cases naturally occurring patterns that have the ability to create looking back and forward all at the same time.

 

                    

   

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Breakthroughs Mean Breaking Literally Through - Silicon

Mapping biological neuronal superpower onto ( for now ) physical chips means completely ignoring accepted silicon architectures and Memristor innovations are  likely to make it happen. But how?

Even with the juggernaut industrial shift to GPU based architectures and that has allowed Ai to ( almost ) literally pop into reality, it's power consumption that is always the killer issue even more so than error correcting and which for Memristors ( that have incredibly low energy consumption ) one of the most important factors in the architectural shift coming means we are edging closer to ( possibly ) the greatest change possible in computation: non-biological ( for now ) neuronal computing. In the past ( and even with original silicon computing and onto quantum error correction system making breakthroughs today ) as we get closer with neuromorphic computing ( and a key component of that, is Memristor technology ) with one of it's the last stages to adoption being that error correcting being locked down.

In a most recent breakthrough and as detailed in ...Computing Platform[s] Based On A Selector-less Memristor Array... the jump to domain non-specific architecture possibilities can be seen and with them any number of platforms are possible that may vastly rival current Ai based systems. These new architectures will allow for new and radical, incredibly low power consumption never been seen before ways to tackle some of the largest and most difficult design problems but more, engineering specific situations that require infinitely powerful computation with little or no power consumption and as detailed more in Mem-Systems And Neuromorphic Applications

Where the true breakthrough lay, will be in the shifts ( both in neuromorphic programing languages and applications ) and via the capabilities for Neuromorphic System with Online Learning at the forefront of usage most likely as the capability for such systems to rapidly and with very little power be able to adapt and morph into situational functionality will allow businesses, engineering and design capabilities in computation of achieve never before levels of sporadic and generative functionality and which is right around the corner.

 

                    

   

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