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Updated index.rst
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Srinivasan Kannan committed Jun 9, 2023
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1332. NeuronRain Version:
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Previously, each NeuronRain repository source in SourceForge, GitHub and GitLab was snapshotted periodically by a version number convention <year>.<month>.<day>. Because total number of repositories in NeuronRain spread across SourceForge, GitHub and GitLab is huge, release tagging each repository is arduous and therefore individual repository source tagging is hereinafter discontinued. Every NeuronRain source code release for SourceForge,GitHub and GitLab repositories henceforth would be notified in this documentation page and latest commit on the date of release (inferred from <year>#<month>#<day>) has to be construed as the latest source release. Latest NeuronRain Research, Green and Antariksh version is 2023#5#3.
Previously, each NeuronRain repository source in SourceForge, GitHub and GitLab was snapshotted periodically by a version number convention <year>.<month>.<day>. Because total number of repositories in NeuronRain spread across SourceForge, GitHub and GitLab is huge, release tagging each repository is arduous and therefore individual repository source tagging is hereinafter discontinued. Every NeuronRain source code release for SourceForge,GitHub and GitLab repositories henceforth would be notified in this documentation page and latest commit on the date of release (inferred from <year>#<month>#<day>) has to be construed as the latest source release. Latest NeuronRain Research, Green and Antariksh version is 2023#6#6.

1333. NeuronRain - Features:
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1.7 People(Social and Professional Networks) - experiential and intrinsic(recursive mistake correction tree, Question-Answering in Interviews/Examinations/Contests),
1.8 People(Social and Professional Networks) - lognormal least energy(inverse lognormal sum of education-wealth-valour,Sports Analytics-Intrinsic Performance Ratings-IPR e.g Elo ratings,Real Plus Minus, Non-perceptive Rankings in Sports, PSPACE-hardness of most games encoded as TQBF, Wealth, Research and Academics),
1.9 People(Professional Networks)-analytics(attritions, tenure histogram set partitions - correlations, set partition analytics, analytics driven automatic recruitment of talent - an alternative to manual Interviews, Career transition score, Career Polynomials and Inner Product Spaces, Chaotic Hidden Markov Model and Weighted automata model of Tenures, Originality of a profile measured by tenure choices-equivalence of state transition automata, Novelty detection-Innovation-Patents, Fibonaccian Search of sorted unique id(s)),
1.10 People-Opinion Mining and election analytics(Boyer-Moore Streaming majority, Reservoir sampling-Compression of Boolean circuits, Opinion polls-Approximate Majority-Promise Majority-Certifying polynomials-Algebraic Immunity, Popular Opinion Mining from news articles as multipolar votes (objective and subjective) - multipolar vote generalizes traditional vote to a triple of percentage like-dislike-neutrality voter (each news article sourced from public opinion is an aggregated vote which reflects a mix of voter sentiments) harbors towards a candidate, ternary majority gate of -1(dislike)-0(neutral)-+1(like), set partition Drone Voter Received Encrypted Paper Audit Trail (VREPAT) EVMs, drone electronic voting machine by autonomous delivery, voting analytics, efficient population count, pre-poll and post-poll forecast analytics, Bertrand ballot theorem, Arrow and Gibbard-Satterthwaite No-Go Theorems on Impossibilty of Fair Voting satisfying criteria for 3 or more candidates),
1.10 People-Opinion Mining and election analytics(Boyer-Moore Streaming majority, Reservoir sampling-Compression of Boolean circuits, Opinion polls-Approximate Majority-Promise Majority-Certifying polynomials-Algebraic Immunity, Popular Opinion Mining from arbitrary URL contents, news articles,Google trends and Twitter trends as multipolar votes (objective and subjective) - multipolar vote generalizes traditional vote to a triple of percentage like-dislike-neutrality voter (each news article sourced from public opinion is an aggregated vote which reflects a mix of voter sentiments) harbors towards a candidate, ternary majority gate of -1(dislike)-0(neutral)-+1(like), set partition Drone Voter Received Encrypted Paper Audit Trail (VREPAT) EVMs, drone electronic voting machine by autonomous delivery, voting analytics, efficient population count, pre-poll and post-poll forecast analytics, Bertrand ballot theorem, Arrow and Gibbard-Satterthwaite No-Go Theorems on Impossibilty of Fair Voting satisfying criteria for 3 or more candidates),
1.11 People(Social and Professional Networks)-unique person search (similar name clustering by phonetic syllable vectorspace embedding of names - String Tensors, People profiles as Tensors, Graph Edit Distance, contextual name parsing, unique person identification from multiple datasources viz.,LinkedIn,Twitter,Facebook,PIPL.com,Emails)
1.12 People(Social and Professional Networks,Archaeology-Civilizations)-face and handwriting recognition (textual,topological and graph theoretic handwriting and face recognition-physique recognition by dynamic time warping on physical mobility timeseries-gender recognition, fingerprint recognition for unique identification, Algebraic and topological text restoration of damaged inscriptions and manuscripts by storing scripts as contour polynomials, Feasibility of Non Fungible Tokens as non-biometric unique id alternatives e.g Neuro fictitious Cryptocurrency Boost UUIDs, Archaeoastronomical dating from scriptures by astronomical algorithms, Decipherment of ancient scripts by Rebus principle topological script recognition, Homotopy equivalence and PHCPack-PHCPy homotopy continuation (Deformation Retracts and Homotopy equivalence - https://people.math.harvard.edu/~bullery/math131/Section%2019_%20Deformation%20retracts%20and%20homotopy%20equivalence.pdf - illustrations, https://pi.math.cornell.edu/~hatcher/AT/AT+.pdf - Chapter 1 - Page 26 - Path Homotopies and Product Homotopies ) of contour polynomials/Chain Approximation Contour polynomials clustering/Homeomorphism/Product Homotopy/Pasting Lemma/Graph Edit Distance and Earth mover distance/Gromov-Hausdorff distance/Multiple Netrd Graph distances/Graph matching/Exact-Approximate Graph and Subgraph Isomorphisms/Trimesh-Quadmesh/Bezier-animated Mesh Deformations/Dynamic Time Warping/Common Subgraph Problem/Approximate Topological Matching between Dlib face landmark detected and segmented Image Voronoi tessellation FaceGraphs,Face similarity by Earth Mover Distance between DBSCAN clusters of face images,Delaunay Triangulation graphs and Quadrilateral Mesh Graphs/Euler Characteristic of 2D and 3D Voronoi tessellations),Sentiment Analysis based Reciprocal Recommender Systems for Bipartite Social Network Graphs - Matrimonial and other Match making Services,Gale-Shapley Stable Marriage Problem,Hall's Marriage Theorem, Physique recognition by Dynamic Time Warping Timeseries similarity of trimesh-quadmesh sequences of full body video footages - claimed to be more accurate than face recognition. Decipherment of ancient writing systems is a harder problem of handwriting recognition where no prior training data are available for an AI model to decipher an unknown inscription on potsherds-painted_gray_ware into natural language and Rebus principle is often resorted to e.g Asko Parpola's Rebus decipherment of Indus script - four conditions for Rebus principle - https://www.harappa.com/content/indus-script-6 - [Iravatam Mahadevan] - The Indus Script: Texts, Concordance and Tables - https://www.harappa.com/content/indus-script-texts-concordance-and-tables and An epigraphic perspective on the antiquity of Tamil - https://www.thehindu.com/opinion/op-ed/An-epigraphic-perspective-on-the-antiquity-of-Tamil/article16265606.ece (Antiquity of Tamil language, Tamil Brahmi which predates Ashoka Brahmi - deciphered by [KV Subramanya Iyer] in year 1924 - and similarities to Ashoka Brahmi - https://en.wikipedia.org/wiki/Tamil-Brahmi , Lectures by [Iravatam Mahadevan] - https://www.tamildigitallibrary.in/admin/assets/book/TVA_BOK_0010654_Tamil_Brahmi_Inscriptions.pdf, Status of Tamil as classical language vis-a-vis Other languages - [George L Hart - Institute for South Asia Studies-UC Berkeley] - https://southasia.berkeley.edu/statement-status-tamil-classical-language). Rebus principle topological script recognition from textgraph of ImageNet predictions of inscription imagery could extract deeplearnt meanings of individual script pictograms graph theoretically and serve as a validation of a decipherment - For example following fictitious undeciphered inscriptions:
Inscription1 - ABCD - ImageNet prediction Textgraph1
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