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Description:: Performing complex reasoning has been a long-standing challenge in artificial intelligence (AI).This thesis describes a class of AI systems designed to reason, extract knowledge, and answer questions on various domains such as process understanding, elementary science, and math word problems. Our approach differs from traditional logical reasoning systems since we...
Keyword:: Knowledge Extraction, Natural Language Processing, Artificial Intelligence, Explainable Artificial Intelligence, Question-answering, and Reasoning
Subject:: Computer science
Creator:: Neves Ribeiro, Danilo
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 08/23/2023
Date Created:: 2023-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:16640 and etdadmin_upload_997812

Description:: Visual Question Answering (VQA) increasingly attracts industry and academia attention. It requires the model to provide a natural language answer by an image and a related natural language question. Meanwhile, it relates to multidisciplinary research such as natural language understanding, visual information retrieval, and multimodal reasoning. As a multimodality task,...
Keyword:: Reasoning, Artificial Intelligence, Visual Question Answering, and Computer Vision
Subject:: Artificial intelligence and Computer science
Creator:: Xiong, Peixi
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 09/22/2022
Date Created:: 2022-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_926174 and http://dissertations.umi.com/northwestern:16204

Description:: Manufacturing processes are known for their intricacies in changing material shapes and properties. New generations of manufacturing technologies, known as flexible manufacturing, are moving toward design freedom, which allows producing parts with optimized geometries and high customizations at an affordable cost even for low-volume productions. Two prominent flexible manufacturing processes...
Keyword:: Neural Network, Reinforcement Learning, Manufacturing, Additive Manufacturing, and Artificial Intelligence
Subject:: Computational physics, Mechanical engineering, and Computer science
Creator:: Mozaffar, Mojtaba
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 10/07/2021
Date Created:: 2021-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:15685 and etdadmin_upload_839531

Description:: The world is awash in data and much of artificial intelligence focuses on learning models of the underlying structure in this data or the mechanisms governing its evolution. Both neural and symbolic models have weaknesses that make these models sub-optimal from a use perspective. Much of this data is in...
Keyword:: Neural-Symbolic Models, Natural Language Processing, Artificial Intelligence, Neural Network Language Models, Finance Models, and Machine Learning
Subject:: Computer science
Creator:: Demeter, David
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/01/2021
Date Created:: 2020-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_769746 and http://dissertations.umi.com/northwestern:15319

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