Author Topic: Revamp Machine learning: Artificial stem-cell for artificialGeneralIntelligence  (Read 186 times)

0 Members and 1 Guest are viewing this topic.

Offline ProgrammingGodJordan

  • Banned
  • Not Enough Spare Time
  • *
  • Posts: 163
  • I am the creator/founder of "".
    • "Non beliefism": The state of no belief whatsoever (not merely absence of religious belief)

(Part A)
In early machine learning days, researchers coded programs with specific rules to respond to as many scenarios as the researchers themselves could imagine.
However, when unforeseen scenarios came along, their programs quickly broke/failed.

(Part B)
Modern machine learning now learns rules automatically, and fail far less, achieving human level performance on narrow cognitive tasks. However, there are still problems with modern machine learning, and separately, researchers are still manually designing the basis nodes/connections (artificial neurons/synapses) involved in these modern automatic rule learning models.

(Part C)
So, I then investigate whether it is feasible to automate even more, by utilizing stem cell data to "grow" those basis nodes/connections, instead of manually designing them.

(Part D)
What follows is a rough exploration of stem cell proliferation, determination & differentiation as an approach to‘grow’ some degree of software artificial general intelligence.

See the paper here: stem-cell-agi-exploration_research-gate

Or here:stem-cell-agi-exploration_academia

Criticism regarding the topic is welcome. Help me to scrutinize this idea fully. (or build on the idea if possible)
« Last Edit: May 07, 2017, 02:50:02 AM by ProgrammingGodJordan »
I am the creator/founder of "non beliefism" (not merely absence of belief in religion, but lack of the very concept of belief altogether):