for - comparison - cortical io / semantic folding vs standard AI - no GPU required

for - comparison - semantic folding vs normal machine learning - training dataset sizes and times

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.

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

for - definition - semantic folding

definition - semantic folding - geometric (bitmap) representation of textual content

for - semantic folding - semantic fingerprint - natural language processing - NLP - cortical.io - Numenta