Automating Data Science

Developing technology to automate the creation of machine learning pipelines to solve a wide variety of data driven modeling problems.

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Causal Reasoning

A novel knowledge organization system that integrates concepts of causality, factual knowledge and meta-reasoning into a model-driven knowledge graph representation to provide situational awareness.

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Commonsense Reasoning

A Multi-modal Open World Grounded Learning and Inference project to build a system that can answer a wide range of common sense questions posed using either an image or natural language, about everyday intuitive phenomena such as abduction, analogy, causality, agency, physics, and social interactions.

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Datamart

Creating the largest publicly available knowledge graph to power data-driven models in a wide variety of domains.

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Karma

An information integration tool that enables users to quickly and easily integrate data from a variety of data sources including databases, spreadsheets, delimited text files, XML, JSON, KML and Web APIs.

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Knowledge Graph for Business

Creating a public resource containing knowledge about businesses, their products, and their patents as well as the relationships between them, such as customer, competitor or supplier.

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Linked Maps

Exploiting Context in Cartographic Evolutionary Documents to Extract and Build Linked Spatial-Temporal Datasets.

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Scoring Scientific Research

Developing automated techniques for evaluating scientific claims and assessing the confidence of their reproducibility and applicability.

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