Scientific evidence of God by an atheist (Where mankind is one likely type of God)

[ProgrammingGodJordan]

['i'] Suzanne has initialized an Artificial intelligence firm, predominantly consisting of the brightest minds amidst artificial intelligence.

['ii']  Tegmark's recent paper, "Why does deep and cheap learning work so well?", is an apt, initial formalization qua deep neural networks.

['iii'] Sam Harris' practice compounds amidst neuroscience. He has logically recognized of the likelihood of sentient artificial intellect.

['iv'] Mathilda's contribution is unfounded.

A former quantum physicist according to you has created a start-up working in AI but doesn't do the AI herself. In my personal experience, people who create start-ups have to bullshit and really sell what they can do in order to bring in more funding or get bought out. That was most certainly the case in my last job which was a start-up in AI. This is predominantly how I managed to get most of my own AI experience in industry.

A cosmologist has managed to write and publish a single paper on deep learning. Well I am glad. But trained neural networks are not sufficient for strong AI. Just because it's called Deep Learning and relies on a statistical model inspired by neural networks is just a drop in the ocean that is the challenge of AI.

Sam Harris did a PhD in Neuroscience but has no post doctoral experience as far as anyone can tell. And his PhD involved scanning brains of religious people. A valid PhD but doesn't tell him anything about how the brain actually functions. Sam Harris's main experience is in selling himself as a media personality.

I personally have a PhD in biologically plausible Artificial Intelligence and self organization, post doctoral experience in academia and industry and peer reviewed papers.

What has your contribution been?

('A')

You are yet to present any contribution of yours; stipulations of the name of your area of focus, has but yielded no indication of any form of contribution.




('B')

Deepmind's Atari go player, the planet's strongest artificial intelligence, is an initial GENERAL approximation of non-trivial artificial intelligence. Deep Neural Networks are an integral component of such, composing the models' memory, of simulated synapses/neurons. 

Albeit, on the horizon of ignorant commentary of thine, presentation of proof of certification of qualifications of thine, is perhaps exigent.


Therein, see the facing deep reinforcement learning lesson of mine, entitled: "A simple 6 minute deepmind deep-q-learning schematic, in input/process/outcome cycle laymen terms".


('C')

Once more, observe areas of contribution, of mine:



(0) NEWTONIAN PERTURBATION en Calculus II integration, via Trigonometry. See 'Trigonometric Rule Collapser Set'. [An ENHANCEMENT of mine, of Newtonian Calculus, particularly abound Trigonometric Integration]


(1) I have composed non trivial models, SAMPLE: (utilizing residual neural network) for heart irregularity detection. (Deriving 76/500+ via international kaggle scale) {{See 'EJECTION-FRACTION-IRREGULARITY-DETECTION-MODEL.'}}


(2) A.... n fold orthographic quasicrystal-structured neural network scan behaviour pattern routine that manifests as a new type of tri dimensional artificial intelligence scan behaviour algorithm. {{See 'MORPHING-SOMATIC-QUASICRYSTAL-NEURAL-NETWORK'}}


(3) Hypothesis/Initial Implementation of non trivial general neural fabric, {{on the horizon of deep reinforcement learning, mathematics qua quantum computing, and causal learning (uetorch tower blocks)}} See 'THOUGHT CURVATURE'.


(4) On my instruction, the University of the West Indies, Mona, has introduced Neural Regression, amidst it's course regime, whence I shall aid in the teaching of said course, in subsequent semesters [2017+].

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('D.i')

You ignore the factum, that Suzanne's laboratory consists of predominantly, a profound degree of the brightest minds amidst artificial intelligence.


('D.ii')


Max Tegmark's modicum machine learning material, is likely (on the boundary of your ignorant stipulations) quite useful, rather than worthless/minimally usable, as your degree of study/expression likely conveys.

Note: Max has postulated papers (rather than single):
i. "Why Deep and Cheap learning work so well".
ii. "Critical Behavior from Deep Dynamics: A Hidden Dimension in Natural Language"