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ai-ecosystems-enabling

Exploring a broader sandbox ecosystems enabling for AI. Investigating Deep learning algorithms on unstructured content form on the web. Evaluating the intersection of Software and Business in the context of AI, Globalization, CSR and the Last mile with an emphasis on Deep learning algorithms in the broader web.

deep-learning

eclipse-cdt

In this paper we look at the Eclipse IDE and its support for CDT (C/C++ Development Tools). Eclipse is an open source IDE and supports a variety of programming languages including plugin functionality. Eclipse supports the standard GNU environment for compiling, building and debugging applications. The CDT is a plugin which enables development of C/C++ applications in eclipse. It enables functionality including code browsing, syntax highlighting and code completion. We verify a 50X improvement in LOC automation for Fake class .cpp / .h and class test .cpp code generation.

lstm-textual-ngrams

Cognitive neuroscience is the study of how the human brain functions on tasks like decision making, language, perception and reasoning. Deep learning is a class of machine learning algorithms that use neural networks. They are designed to model the responses of neurons in the human brain. Learning can be supervised or unsupervised. Ngram token models are used extensively in language prediction. Ngrams are probabilistic models that are used in predicting the next word or token. They are a statistical model of word sequences or tokens and are called Language Models or Lms. Ngrams are essential in creating language prediction models. We are exploring a broader sandbox ecosystems enabling for AI. Specifically, around Deep learning applications on unstructured content form on the web.

mathgen

See http://thatsmathematics.com/mathgen/

parser-triples

The web contains vast repositories of unstructured text. We investigate the opportunity for building a knowledge graph from these text sources. We generate a set of triples which can be used in knowledge gathering and integration. We define the architecture of a language compiler for processing subject-predicate-object triples using the OpenNLP parser. We implement a depth-first search traversal on the POS tagged syntactic tree appending predicate and object information. A parser enables higher precision and higher recall extractions of syntactic relationships across conjunction boundaries. We are able to extract 2-2.5 times the correct extractions of ReVerb. The extractions are used in a variety of semantic web applications and question answering. We verify extraction of 50,000 triples on the ClueWeb dataset.

scigen

Fork of SCIgen - An Automatic CS Paper Generator

shaundsouza.github.io

tree-maze

Visitor design patterns decouples the data structure and the algorithms. Traversal could be in-order or post-order. Applications include sorting such as binary sort in O(log n) complexity. The tree and maze illustrate a dichotomy in software and systems infrastructure. They are essential ingredients in an ecosystem. Use cases include the rationalization of taxonomies/thesauri and cognitive biases. Eg. man-woman, snakes-ladders, import-export, left-right, train-test.