Latest GUI of EDeN Training Environment

EDeN Update: Significant client optimisation, connectome render improvements & Input Link template generation

In the below video, I demonstrate various connectome rendering and GUI Improvments in conjuction with huge speedups to entity creation using TBB and .

The next stage wiill more focused towards results from training via entity behaviour.

Optimisation And Connectome Rendering

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EDeN Update: Dataset Texture processing overview and next steps

In the below video, I demonstrate the latest update which has been on hiatus for three months due to personal issues (moving home and taking care of family):

  • The client interface can now request a root folder located on the server for sourced datasets, this is now automatically loaded into memory and selected for training
  • A new command structure can set position of the entity and training object for stimulating input links.
  • Improved GUI allows inspection of the connectome seperately, whilst providing a ‘mini-map’ type view.
  • Various bug fixes and speed up improvments in the backend. Not shown in the video is a 60x speed up in connectome rendering, especially useful for large brained entities.The results of this will then:
  • Be used as evidence in the next paper : Multi agent learning -working title.
  • And if stable: release to AWS Marketplace!

Texture dataset processing overview

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Charity Project: Star Trek Holoroom Donation box

To support the local parks of Cambridge. I have been developing an interactive, solar powered, 2G GSM enabled donation box.

Progress as follows:

A cool 3D Printed design that will protect the electronics

Includes an opening designed for a touch screen, and slanted extrusion for a solar panel

Touch screen wired up to a an Arduino Featherwing

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GSM 2G Module for texting and basic internet connection

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Solar panel and relay as part of the recharging circuit

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Software tests confirming hardware is functional.
When I have more time, this will be replaced with a star trek themed holo-deck interface with a QR Code link for donation and text utilisation to create an interactive experience!

NEXT STEPS

  • .3D Print the design
  • .Write main holo-deck interactive software
  • .Create utilities for charging management, 2G GSM module and remote update methods.

Until next time!

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EDeN Update: Unity volumetric connectome rendering

Significant enhancements to the backend dlls, rendering methods, and other interfaces have now allowed for the following:

  • Jeffbot – Is now created by the user from the python interface client side (Or any other asset via the ‘TraniningMetaData settings)
  • Neuron renderer: Rendering 10,000 neurons, each with up to 20,000 Axons/Dendrites, this will improve drastically once again given compute shader processing!
    That’s up to 134,217,728 neurons rendered on the active entity!-Special thanks to Joel Rowney from Mjolnir software in his shader mastery!

Volumetric rendering preview

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Update: EDeN Unity engine rendering updates

Work progresses well in developing an entity training environment.
Included in the follow GIF, we see:

  • Jeffbot – a representation of test entities where input and output neural probes are attached
  • Training environment which spawns different challenges and all essential stimulus, either in the form of food or direct neural inputs
  • Neuron renderer: rendering a few hundred neurons just starting to grow from initial conditions.
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