https://singularityhub.com/2017/06/21/is-there-a-multidimensional-mathematical-world-hidden-in-the-brains-computation/
+ Brain appears to use geometry to map thoughts and even sounds:
- https://www.quantamagazine.org/the-brain-maps-out-ideas-and-memories-like-spaces-20190114/
+ + https://www.quantamagazine.org/the-brain-maps-out-ideas-and-memories-like-spaces-20190114/
+ + https://www.quantamagazine.org/goals-and-rewards-redraw-the-brains-map-of-the-world-20190328
++ It directly inspires [[id:171fe375-c737-41e6-b429-a414f6abc5d8][Geometrical computation]] idea and nicely fits
+ with [[id:01aa65c1-3d44-44a8-9b90-58454bc6be80][CM-1 Connection Machine]] design.
+
+** CM-1 Connection Machine
+:PROPERTIES:
+:ID: 01aa65c1-3d44-44a8-9b90-58454bc6be80
+:END:
+https://en.wikipedia.org/wiki/Connection_Machine
+
++ see: [[id:171fe375-c737-41e6-b429-a414f6abc5d8][Geometrical computation]]
+
++ Computation unit has local CPU and RAM.
+
++ Data is pre-distributed across computation units.
+
++ Machine's internal 12-dimensional hypercube network allows to
+ efficiently simulate arbitrary dimensional network topology between
+ computational units. So that when we are solving/simulating for
+ example 5 dimensional problem, we can arrange computational units
+ into virtual 5D network. See:
+ http://www.mission-base.com/tamiko/theory/cm_txts/di-ch2.html
-+ It directly inspires following ideas
- + [[id:5d287158-53ea-44a2-a754-dd862366066a][Distributed comutation and data storage]]
- + [[id:a117c11e-97c1-4822-88b2-9fc10f96caec][Mapping of hyperspace to traditional object-oriented model]]
- + [[id:b6b15bd2-c78b-4c51-a343-72843a515c29][Handling of relations]]
* Ideas
-** Distributed computation and data storage
+** Geometrical computation
+:PROPERTIES:
+:ID: 171fe375-c737-41e6-b429-a414f6abc5d8
+:END:
++ Inspired by [[id:d2375acc-af14-4f18-8ad0-7949501178c5][Brain]].
++ Wits nicely with [[id:01aa65c1-3d44-44a8-9b90-58454bc6be80][CM-1 Connection Machine]] properties.
+
+*** Distributed computation and data storage
:PROPERTIES:
:ID: 5d287158-53ea-44a2-a754-dd862366066a
:END:
the brain appear to be doing ! :) . Learning means building/updating
the model (the hard part). Question answering is making (relatively
simple) lookups (geometrical queries) against the model.
-** Mapping of hyperspace to traditional object-oriented model
+*** Mapping of hyperspace to traditional object-oriented model
:PROPERTIES:
:ID: a117c11e-97c1-4822-88b2-9fc10f96caec
:END:
(objects) are points inside that particular universe. References
between objects of different types are hyperlinks (portals) between
different universes.
-** Handling of relations
+*** Handling of relations
:PROPERTIES:
:ID: b6b15bd2-c78b-4c51-a343-72843a515c29
:END:
* See also
Interesting or competing projects with good ideas:
++ [[id:01aa65c1-3d44-44a8-9b90-58454bc6be80][CM-1 Connection Machine]]
+
++ Taichi: A Language for High-Performance Computation onSpatially
+ Sparse Data Structures
+ + http://taichi.graphics/wp-content/uploads/2019/09/taichi_lang.pdf
+
+ GRAKN.AI
+ database in the form of a knowledge graph that uses machine
reasoning to simplify data processing challenges for AI