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1.49 MB
Extraction Summary
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People
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Organizations
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Locations
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Events
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Relationships
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Quotes
Document Information
Type:
Book page / scientific text (house oversight evidence)
File Size:
1.49 MB
Summary
This document is page 281 from a book or scientific paper titled 'Hyper-Computing.' The text discusses theoretical computing concepts, specifically 'Siegelmann's idea' regarding Analog Recurrent Neural Networks (ARNNs), Turing machines, and the impact of environmental noise and quantum effects on calculation precision. The bottom half of the page features a detailed biological diagram labeled 'Neurons and Microtubules' showing the structure of a neuron. The document contains a Bates stamp 'HOUSE_OVERSIGHT_015971', indicating it is part of a document production for a House Oversight investigation, likely related to Jeffrey Epstein's involvement with or funding of scientific research.
People (1)
| Name | Role | Context |
|---|---|---|
| Siegelmann | Scientist/Theorist |
Mentioned in text regarding 'Siegelmann's idea' about machines and fine-grained information (likely Hava Siegelmann).
|
Organizations (1)
| Name | Type | Context |
|---|---|---|
| House Oversight Committee |
Implied by the Bates stamp 'HOUSE_OVERSIGHT' at the bottom of the page.
|
Key Quotes (2)
"The biggest stumbling block for Siegelmann’s idea is the information that gives her machines their power is fine-grained and easily destroyed by noise in the environment."Source
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Quote #1
"The possibility an ARNN might perform infinite precision calculations may be enough to give the machine the edge, even though in practice it is disturbed by noise."Source
HOUSE_OVERSIGHT_015971.jpg
Quote #2
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