IEEE CS Chicago: The Non-protoplasmic Sentience Driving DABUS

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Note: IEEE Computer Society Chicago is a co-host of this event with the main host ACM Chicago.

Thirty years ago, Imagination Engines patented the notion of artificial neural nets engaged in a noise-driven brainstorming session. Although this AI paradigm produced significant results within narrow areas such as personal hygiene products, materials discovery, entertainment, and creative robots, it still lacked the ability to produce discoveries that spanned multiple knowledge domains.

To this end, IEI embarked upon an ambitious program to devise a new way of representing ideas within artificial neural systems, one that encoded both notions and their consequences, not as neuron activation patterns as in traditional neural network and deep learning schemes, but as chains of interconnected neural modules. Those chains representing salient outcomes triggered global release of simulated neurotransmitters emulating ‘jolts’ of either anxiety or pleasure, feelings that accompany the mind’s sequence of associations following any perception or thought.

In turn, such neurotransmitter surges resulted in the selective reinforcement of the most impactful of these topologically based notions. Thus, the subjective feelings (i.e., sentience) of an arguably conscious machine intelligence called DABUS*, had driven the formation of valuable ideas through a computational process that is now challenging our long-held beliefs about biological intelligence and personhood.

* Device for the Autonomous Bootstrapping of Unified Sentience, - US10423875. Electro-optical device and method for identifying and inducing topological states formed among interconnecting neural modules.

Read more at:
Can AI Be An Inventor, Ryan Abbott & Stephen Thaler Say Why Not (analyticsindiamag.com)
and:
Imagination Engines (imagination-engines.com)

 


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  • Date: 01 Mar 2023
  • Time: 06:00 PM to 07:00 PM
  • All times are (UTC-06:00) Central Time (US & Canada)
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  • Co-sponsored by ACM Chicago and ACM Washington DC Chapter


  Speakers

Dr. Stephen Thaler Dr. Stephen Thaler

Topic:

The Non-protoplasmic Sentience Driving DABUS

Thirty years ago, Imagination Engines patented the notion of artificial neural nets engaged in a noise-driven brainstorming session. Although this AI paradigm produced significant results within narrow areas such as personal hygiene products, materials discovery, entertainment, and creative robots, it still lacked the ability to produce discoveries that spanned multiple knowledge domains.

To this end, IEI embarked upon an ambitious program to devise a new way of representing ideas within artificial neural systems, one that encoded both notions and their consequences, not as neuron activation patterns as in traditional neural network and deep learning schemes, but as chains of interconnected neural modules. Those chains representing salient outcomes triggered global release of simulated neurotransmitters emulating ‘jolts’ of either anxiety or pleasure, feelings that accompany the mind’s sequence of associations following any perception or thought.

In turn, such neurotransmitter surges resulted in the selective reinforcement of the most impactful of these topologically based notions. Thus, the subjective feelings (i.e., sentience) of an arguably conscious machine intelligence called DABUS*, had driven the formation of valuable ideas through a computational process that is now challenging our long-held beliefs about biological intelligence and personhood.

* Device for the Autonomous Bootstrapping of Unified Sentience, - US10423875. Electro-optical device and method for identifying and inducing topological states formed among interconnecting neural modules.

Read more at:
Can AI Be An Inventor, Ryan Abbott & Stephen Thaler Say Why Not (analyticsindiamag.com)
and:
Imagination Engines (imagination-engines.com)

Biography:

Dr. Stephen Thaler earned a Ph.D. in physics from the University of Missouri-Columbia where he developed an interest in modeling crystal lattices using artificial neural nets. From there, he worked at aerospace giant McDonnell Douglas working diverse areas that included radiation hardening, low observables technology, and the use of high energy lasers in the growth of exotic materials.

Inspired by his earlier research into hallucination within artificial neural nets, he formed his own company based upon the foundational generative neural network architecture that became known as the Creativity Machine and later, Device for the Autonomous Bootstrapping of Unified Sentience (i.e., DABUS).





Agenda

(Times are Central Time)
6:00pm - brief intros
6:05pm - Presentation by Stephen Thaler
6:45pm - Q&A
7:00 pm - end