- Last 7 days
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www.youtube.com www.youtube.com
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we are using set theory so a certain piece of reference text is part of my collection or it's not if it's part of my collection somewhere in my fingerprint is a corresponding dot for it yeah so there is a very clear direct link from the root data to the actual representation and the position that dot has versus all the other dots so the the topology of that space geometry if you want of that patterns that you get that contains the knowledge of the world which i'm using the language of yeah so that basically and that is super easy to compute for um for for a computer i don't even need a gpu
for - comparison - cortical io / semantic folding vs standard AI - no GPU required
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we basically grow models of let's say same quality like all the others by using thousand time or ten thousand times less training data
for - comparison - semantic folding vs normal machine learning - training dataset sizes and times
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for - semantic folding - semantic fingerprint - cortical.io - numenta - sparse coding - Francisco Webber - symmathesetic fingerprint
summary - In this informative interview, Francisco Webber, a principal cofounder of Cortical.io, discusses how the company's core technology, semantic folding and semantic fingerprints of words is unique and differs from the usual AI large language models. - Cortical I/O's approach is a biomimicry approach that is based on representing words in the way that brain operates. - It employs a word-to-geometry mapping implemented using Numenta's sparse coding technique. - This approach allows Cortical to train using very small training data sets of 100 gigabytes of data, which takes a few hours to train - many orders of magnitudes smaller than normal AI training data sets.
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if you have bitmaps let's say 100 times 100 in in square and you now throw in let's say 200 dots in this bitmap the rest is white you should what you need is a function that renders any given word in a bitmap such that words that are similar render in two similar bitmaps
for - example - semantic fingerprint bitmap - adjacency - semantic fingerprint bitmap - semantic folding - symmathesetic fingerprint - symmathesetic folding - Indyweb - adjacency - indranet - salience mismatch
example - semantic fingerprint bitmap - 100 x 100 square - 200 dots in the bitmap - sparse coding - function that renders words in the bitmap such that - words that are similar render in two similar bitmaps
adjacency - between - semantic fingerprint - semantic folding - symmathesetic fingerprint - symmathesetic folding - Indyweb - Indranet - adjacency - salience mismatch - adjacency relationship - This word-to-geometry mapping is the key idea and can also be employed within Indyweb to represent the concept of word/idea adjacency unique to the meaningverse of each language user - While Cortical develops dictionaries for specific domains, within Indyweb, we can go even more granular, and develop dictionaries for each indyvidual!
definition - indyvidual dictionary - In Indyweb, an indyvidual's dicitionary can be calculated by employing a word meaning-to-geometry bitmap to determine the adjacencies salient to any word - This can be used to reduce salience mismatch (misunderstanding) that is inherent in any human symbolic communication
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what we basically do is that we try to find a representation for textual content so we call these representation fingerprints and they are like bitmaps
for - definition - semantic folding
definition - semantic folding - geometric (bitmap) representation of textual content
Tags
- semantic folding
- comparison - semantic folding vs normal machine learning - training dataset sizes and times
- example - semantic fingerprint bitmap
- numenta
- adjacency - semantic fingerprint bitmap - semantic folding - symmathesetic fingerprint - symmathesetic folding - Indyweb - adjacency - indranet - salience mismatch
- definition - semantic folding
- comparison - cortical io / semantic folding vs standard AI - no GPU required
- symmathesetic fingerprint
- sparse coding
- semantic fingerprint
- cortical.io
- Francisco Webber
Annotators
URL
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- Feb 2024
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www.cortical.io www.cortical.io
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for - semantic folding - semantic fingerprint - natural language processing - NLP - cortical.io - Numenta
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- May 2023
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datascience.codata.org datascience.codata.org
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articulates requirements for readability sating that identifiers must be: Any printable characters from the Universal Character Set of ISO/IEC 10646 (ISO 2012):UTF-8 encoding is required; Case insensitive:Only ASCII case folding is allowed.
{UTF-8} {ASCII Case Folding}
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- Apr 2023
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datavizpyr.com datavizpyr.com
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guides(color=guide_legend(nrow=2, byrow=TRUE))
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- Mar 2023
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Is there a way to collapse all headings at once? .t3_11lgicl._2FCtq-QzlfuN-SwVMUZMM3 { --postTitle-VisitedLinkColor: #9b9b9b; --postTitleLink-VisitedLinkColor: #9b9b9b; --postBodyLink-VisitedLinkColor: #989898; }
I don't think it requires a plugin, but you can go to Settings >> Hotkeys and search for "fold" to create/change custom hotkey settings to fold up/down as necessary.
Another approach with a potentially similar affordance: Obsidian has a core plugin called "Outline" that you can enable. Then open the palette to search/select: "Outline: Show Outline" which will display in a sidebar (you can drag/drop it where you find most convenient). This side outline will allow you to easily jump around your document for various views as well as show you the overarching outline while you're working on a document. It will also allow you to conveniently collapse parts of the outline too.
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- Dec 2020
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archive.vn archive.vn
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Folding This is the one function whose name is confusing because many products use the term for what we called “collapsing” above. For this article, collapsing is the process of making whole headers and paragraphs invisible, tucking them up under a “parent.” Folding is a different kind of tucking under; it works on paragraphs and blocks to reduce them to a single line, hiding the rest. A simple case of folding might involve a long paragraph that is reduced to just the first line—plus some indication that it is folded; this shows that a paragraph is there and something about its content without showing the whole thing. Folding is most common in single-pane outline displays, and a common use is to fold everything so that every header and paragraph is reduced to a single line. This can show the overall structure of a huge document, including paragraph leaves in a single view. You can use folding and collapsing independently. At one time, folding was one of the basics of text editors, but it has faded somewhat. Now only about half of the full-featured editors employ folding. One of the most interesting of these is jEdit. It has a very strong implementation of folding, so strong in fact it subsumes outlining. Though intended as a full editor, it can easily be used as an outliner front end to TeX-based systems. jEdit is shown in the example screenshot in both modes. The view on the right shows an outline folded like MORE and NoteBook do it, where the folds correspond to the outline structure. But see on the left we have shifted to “explicit folding” mode where blocks are marked with triple brackets. Then these entire blocks can be folded independent of the outline. Alas, folding is one area where the Mac is weak, but NoteBook has an implementation that is handy. It is like MORE’s was, and is bound to the outline structure, meaning you can only fold headers, not arbitrary blocks. But it has a nice touch: just entering a folded header temporarily expands it.
Folding is the affordance of being able to limit the space a block of a text (e.g. a paragraph) takes up to one line.
This is different from collapsing, which hides nested subordinate elements under a parent element.
Tags
Annotators
URL
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- May 2020
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www.nationalgeographic.com www.nationalgeographic.com