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Analyzed about 7 hours ago. based on code collected 1 day ago.
Nov 05, 2025 — Nov 05, 2026
Commit Message Contributor Files Modified Lines Added Lines Removed Code Location Date
--------------------------------------------------------------------------------------------------------------- Computational Geometric Factorization - Spark 2.3 Upgrade - Single Core - 30-bit integer --------------------------------------------------------------------------------------------------------------- 1.Spark has been upgraded to 2.3 (oracle jdk 1.8) and Hyperbolic local tile search optimization for Computational Geometric Factorization has been executed for a 30-bit integer on Single Core Processor. 2.Parallelism wont be perceptible in Single Core. This is just a dependency upgrade. 3.Logs have been committed to testlogs/
Srinivasan Kannan
More... over 8 years ago
Updated AsFer Design Document - SAT Solver SciPy 1.1 Upgrade for LSMR
Srinivasan Kannan
More... over 8 years ago
--------------------------------------------------------------------------------------------------------------- SAT Solver Update - SciPy Upgrade to 1.1 for restoring LSMR - 1000 clauses and Alpha=1.0 --------------------------------------------------------------------------------------------------------------- 1. SciPy has been upgraded to SciPy 1.1 by installing scipy 1.1 wheel file as "easy_install scipy==1.1" 2. LSMR invocation has been uncommented and invoked restoring status quo ante 3. Almost 150, 1000 variables and 1000 clauses random SAT instances have been solved and MAXSAT approximation ratio is > 94 pegged at 94.5% which coincides with Alpha=1.0 pattern of ~95% for all executions so far. 4. Logs for this have been committed to testlogs/ 5. Scipy 1.1 has initial guess parameter for x (SAT assignment) for faster convergence which can be utilized in future versions of SAT Solver.
Srinivasan Kannan
More... over 8 years ago
Updated AsFer Design Document - Social Progress Index
Srinivasan Kannan
More... over 8 years ago
Updated AsFer Design Document - Analysis of Roget's Thesaurus and WordNet Graph Deep Structure
Srinivasan Kannan
More... over 8 years ago
Updated AsFer Design Document - ImageNet and Recursive Lambda Function Growth Cognition
Srinivasan Kannan
More... over 8 years ago
Updated AsFer Design Document - Riemann Sum, Parity and SAT Solver
Srinivasan Kannan
More... over 8 years ago
-------------------------------------------------------------------------------------------------------------- SAT Solver Update - Parity of the Assignment -------------------------------------------------------------------------------------------------------------- 1. solve_SAT2() function of CNFSATSolver.py has been changed to compute binary parity (sum of 1s) after rounding and real parity (sum of real values for variables before rounding) 2. Rationale is both the parities should be approximately close enough which is another measure of efficiency of MAXSAT approximation. Real parity is nothing but Riemann Sum Discrete Integral of the polynomial through real assignment points. 3. Notion of real parities is non-conventional and is introduced as proprietary NeuronRain SAT Solver feature. 4. This instance solves 1000 variables and Alpha=1.0 and MAXSAT approximation ratio is ~97%. LSQR solver has been invoked instead of LSMR because of absence of LSMR in SciPy 0.9.0 5. Logs for this have been committed to testlogs/CNFSATSolver.1000variablesAlpha1AssignmentParity.3May2018
Srinivasan Kannan
More... over 8 years ago
Updated AsFer Design Document - Diophantine Representation of Fibonacci Numbers - Reference
Srinivasan Kannan
More... over 8 years ago
Updated AsFer Design Document - MARA, Hash tables, Riemann Sum, LSMR/LSQR SAT Solver, Parity of SAT assignments
Srinivasan Kannan
More... over 8 years ago
Updated AsFer Design Document - Recursive Lambda Function Growth - Postorder Traversal of AVL Tree
Srinivasan Kannan
More... over 8 years ago
Updated AsFer Design Document - Scalable Parallel Segment Tree For Factorization - Reference
Srinivasan Kannan
More... over 8 years ago
------------------------------------------------------------------------------------------------------------- Recursive Lambda Function Growth - Update - Postorder Traversal of AVL Lambda Composition Tree ------------------------------------------------------------------------------------------------------------- 1. Text file extracting lambda function composition tree has been updated to increase the size of the text and more precisely represent the concept of "Expansion of Chennai Metropolitan Area". 2. Lambda Function Composition AVL Tree is evaluated as a Postfix expression (Postorder Traversal of AVL tree) 3. Maximum Merit composition from logs: grow_lambda_function3(): Maximum Per Random Walk Graph Tensor Neuron Network Intrinsic Merit : (u'physical_entity((artifact(road,(object(event,(entity(way,(abstraction(living_thing,(entity(causal_agent,(entity(planner,(physical_entity(means,(abstraction(property,(entity(entity,(entity(entity,(abstraction(definite_quantity,(abstraction(one,(entity(auditory_communication,(music(measure,(digit(property,(relation(abstraction,(part(part,(event(abstraction,(relation(entity,(event(abstraction,(entity(relation,(politics(investigation,(investigation(politics,(entity(relation,(entity(Security_Service,(abstraction(abstraction,(group(abstraction,(international_intelligence_agency(intelligence,(international_intelligence_agency(group,(Security_Service(intelligence,(entity(abstraction,(unit(region,(entity(location,(entity(physical_entity,(district(district,(physical_entity(location,(grasping(control,(event(entity,(region(embrace,(activity(abstraction,(entity(event,(grasping(psychological_feature,(clasp(abstraction,(embrace(abstraction,(abstraction(group,(abstraction(control,(clasp(abstraction,(unit(division,(clergyman(leader,(living_thing(entity,(causal_agent(entity,(object(living_thing,(curate(leader,(clergyman(curate,(object(person,(entity(physical_entity,(thing(physical_entity,(physical_entity(external_body_part,(abstraction(entity,(abstraction(district,(entity(entity,(head(causal_agent,(group(region,(entity(physical_entity,(abstraction(abstraction,(entity(event,(abstraction(increase,(event(action,(event(abstraction,(expansion(entity,(expansion(abstraction,(action(fact,(proposal(abstraction,(information(abstraction,(abstraction(plan,(abstraction(entity,(event(plan,(entity(increase,(mathematical_relation(abstraction,(relation(entity,(location(region,(function(entity,(location(region,(entity(concept,(given(physical_entity,(physical_entity(idea,(given(entity,(abstraction(abstraction,(people(entity,(concept(abstraction,(abstraction(location,abstraction)))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))', 63.80089169516415) 4. This maximum merit lambda function composition has lambda functions "expansion", "mathematical_relation","region" which grasps the leitmotif of the text: "Expansion" is a "mathematical relation" on the "region" implying numeric increase in area from 1189 sqkms to 8848 sqkms 5. logs have been committed to testlogs/RecursiveLambdaFunctionGrowth.log.GraphTensorNeuronNetworkDeepStructurePostFix.2May2018 6. Classifier Core number for "expansion" is also maximum at 4. 7. Text for this is a mix of news articles from following websites: https://ipfs.io/ipfs/QmXoypizjW3WknFiJnKLwHCnL72vedxjQkDDP1mXWo6uco/wiki/Chennai_Metropolitan_Area.html https://en.wikipedia.org/wiki/Chennai_metropolitan_area http://www.thehindu.com/todays-paper/tp-national/tp-tamilnadu/metropolitan-planning-area-expanded/article22639607.ece https://www.newstodaynet.com/index.php/2018/02/06/chennai-to-grow-from-metropolis-to-megapolis/
Srinivasan Kannan
More... over 8 years ago
Updated AsFer Design Document - Recursive Lambda Function Growth Deep Structure
Srinivasan Kannan
More... over 8 years ago
--------------------------------------------------------------------------------------------------------------- Recursive Lambda Function Growth - Update - WordNet Relations Deep Structure --------------------------------------------------------------------------------------------------------------- 1. Recursive Lambda Function Growth python implementation has been updated to define a new function to expand the Random Walks and Simple Cycles in Recursive Gloss Overlap graph to include the deep structure relations between the pairs of words. 2. This invokes path_between() function implemented in WordNetPath.py which is python alternative implemented in NeuronRain to WordNet::Similarity in Perl CPAN 3. Logs for this have been committed to testlogs/RecursiveLambdaFunctionGrowth.log.GraphTensorNeuronNetworkDeepStructure.1May2018 4. This is the deepest possible graph structure which can be extracted from a Natural Language Text for an ontology. 5. Maximum merit lambda function composition printed abstracts the concept of expansion of a Megapolis as Hyponyms/Hypernyms "event","geographic area","region","definite quantitty","land" etc.,: grow_lambda_function3(): Maximum Per Random Walk Graph Tensor Neuron Network Intrinsic Merit : (u'event((social_event(affair,(property(abstraction,(property(abstraction,(property(abstraction,(property(abstraction,(resource(abstraction,(resource(abstraction,(kind(abstraction,(abstraction(concept,(concept(kind,(information(abstraction,(abstraction(evidence,(evidence(information,(entity(abstraction,(entity(measure,(abstraction(plan,(abstraction(abstraction,(district(entity,(region(location,(entity(physical_entity,(municipality(district,(municipality(district,(region(district,(region(district,(physical_entity(location,(event(entity,(exploitation(abstraction,(use(activity,(entity(psychological_feature,(abstraction(event,(property(land,(land(abstraction,(abstraction(property,(point(entity,(farm(location,(entity(physical_entity,(location(point,(physical_entity(farm,(definite_quantity(entity,(definite_quantity(entity,(assembly(entity,(artifact(physical_entity,(assembly(entity,(geographical_area(physical_entity,(region(location,(geographical_area(physical_entity,(region(location,(entity(physical_entity,(situation(abstraction,entity)))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))', 36.399953525147026)
Srinivasan Kannan
More... over 8 years ago
Updated AsFer Design Document - MARA and Hashing
Srinivasan Kannan
More... over 8 years ago
Updated AsFer Design Document - Graph Energy and its coincidence with Bianconi-Barabasi least energy intrinsic fitness
Srinivasan Kannan
More... over 8 years ago
Updated AsFer Design Document - Graph Entropies
Srinivasan Kannan
More... over 8 years ago
Updated AsFer Design Document - Intrinsic Fitness and Simplicial Complexes in Networks
Srinivasan Kannan
More... over 8 years ago
Updated AsFer Design Document - Recursive Lambda Function Growth - related sections
Srinivasan Kannan
More... over 8 years ago
Updated AsFer Design Document - Recursive Lambda Function Growth algorithm for flat sentences
Srinivasan Kannan
More... over 8 years ago
Updated Requirements.txt
Srinivasan Kannan
More... over 8 years ago
Updated AsFer Design Document - new wordnet similarity measure - reference
Srinivasan Kannan
More... over 8 years ago
Updated AsFer Design Document - Recursive Lambda Function Growth, Word2Vec, Shell Turing Machines
Srinivasan Kannan
More... over 8 years ago
Updated AsFer Design Document - Vertex Coloring of Text-Graph
Srinivasan Kannan
More... over 8 years ago
Updated AsFer Design Document - Shell Turing Machines, Word2Vec and Intrinsic Merit
Srinivasan Kannan
More... over 8 years ago
Updated for ConceptNet 5.6
Srinivasan Kannan
More... over 8 years ago
Updated AsFer Design Document - ConceptNet 5.6 REST client upgrade
Srinivasan Kannan
More... over 8 years ago
------------------------------------------------------------------------------------------------------------- ConceptNet Client Upgrade to 5.6 - REST endpoints for Emoticons ------------------------------------------------------------------------------------------------------------- 1. ConceptNet Client has been updated for new REST endpoints in ConceptNet 5.6 2. Function for querying emotions has been added for new emoji endpoints in ConceptNet 5.6 3. logs for this have been committed to testlogs/ConceptNet5Client.log.23April2018
Srinivasan Kannan
More... over 8 years ago
Correction - Updated AsFer Design Document - Complement Text-Graph, Meaningfulness and Intrinsic Merit - Theorem 5.16 in https://tac.nist.gov/publications/2010/participant.papers/CMI_IIT.proceedings.pdf
Srinivasan Kannan
More... over 8 years ago