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Why not faster computation via evolution and diffracted light


Thompson designed an electric circuit to perform
a tone-discrimination task – it listens to a sound, and can tell you which of two expected tones it has heard.
Thompson then
The critical part: the evolved circuit was selected not as a simulation, but by
making a physical version and - experimentally - measuring how well it performed.
This line in the abstract is far too modest:
a greater respect for the natural properties of the implementation medium than is usual – because what happens is - excuse my French - BATSHIT INSANE.
Jumping to
The evolved circuit is a mess.
So, of that tangle: ....

Intrinsic Hardware Evolution , Genetic Algorithm , Field Programmable Gate Array , Artificial Intelligence Device Identifies Objects , ஜெநெடிக் வழிமுறை ,

"Optimizing compressive load capacity for differing tensegrity geometri" by James K. Roth and Timothy J. McCarthy


Abstract
Tensegrity structures present new possibilities to the field of structural engineering, owing to their ability to efficiently distribute compressive loads associated with their non-orthogonal design. Previous research has shown that when pretensioned, tensegrities exhibit higher resistance to compressive loading. However, over-tensioning can have adverse effects, reducing the tensegrities overall resistance to compressive loading. The geometry of a tensegrity affects how the structure reacts to loading, and the prestress and loading can concurrently affect geometry. This paper uses genetic algorithms to optimize the pretension loads in the cables of a tensegrity to deliver the highest overall vertical load capacity. The results are applied to determine the ultimate load-carrying capacity of tensegrities under a compressive load and determine the optimal aspect ratio at which this is achieved. By optimizing the pretension, the tensegrity can withstand compressive loads ....

Aspect Ratio , Ompressive Load , Genetic Algorithm , அம்சம் ரேஶியோ ,