Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 44 for “"Machine Intelligence"”.
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Augmented Human Machine Intelligence for Distributed Inference
… networks (WSNs), interactions of humans and machine data are everywhere. In numerous applications, humans are essential parts in the decision making process, where they may either serve as information sources or act as the final decision makers. For various tasks including detection and …
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Lower bound resource requirements for machine intelligence
… in technology and the field of artificial intelligence provide a platform for new applications in a wide range of areas, including healthcare, engineering, vision, and natural language processing, that would be considered unattainable one or two decades ago. With the expected compound …
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Combining Diverse Forms of Human and Machine Intelligence
Artificial Intelligence algorithms never operate in isolation but are always part of broader processes that often involve humans, other computer algorithms, incentive structures, and interfaces which modulate the interaction between them. This thesis takes this perspective and considers these …
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Combining human and machine intelligence for making predictions
… Can we combine predictions from humans and machines to get predictions that are better than either could do alone? We used prediction markets to combine predictions from groups of people and artificial intelligence agents. We found that the combined predictions were both more accurate and …
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Human-Intelligence and Machine-Intelligence Decision Governance Formal Ontology
… the integration into and use of artificial intelligence (AI) in organizational processes and everyday life. Artificial intelligence can now be found in a wide range of organizational systems including healthcare and medical diagnosis, automated stock trading, robotic production, …
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Bridging crowd and machine intelligence to inspire causal reasoning
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01
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Moving Toward Intelligence: A Hybrid Neural Computing Architecture for Machine Intelligence Applications
Rapid advances in machine learning have made information analysis more efficient than ever before. However, to extract valuable information from trillion bytes of data for learning and decision-making, general-purpose computing systems or cloud infrastructures are often deployed to train a …
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The Objective Function: Science and Society in the Age of Machine Intelligence
<p>Machine intelligence, or the use of complex computational and statistical practices to make predictions and classifications based on data representations of phenomena, has been applied to domains as disparate as criminal justice, commerce, medicine, media and the arts, mechanical engineering, …
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Synergizing human-machine intelligence: Visualizing, labeling, and mining the electronic health record
… of our lives. The key challenge for humans and machines is how we can make better use of such data. Imagine what would happen if you were to have intelligent machines that could give you insight into the data. Insight that will enable you to better 1) reason about, 2) learn, and 3) understand …
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News Matter : embedding human intuition in machine intelligence through interactive data visualizations
… they come in as an unstructured text that for machines is hard to generalize. While numerous tools exist that use Natural Language Processing to identify features of news articles, few use NLP to help readers navigate the universe of news stories. This thesis proposes a novel interaction …
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Data-intensive crop knowledge discovery in the era of cybergis and machine intelligence
… level. These studies are enabled by cutting-edge machine learning methods (e.g. deep neural networks) and advanced cyberGIS capabilities (e.g. ROGER supercomputer). Collectively, findings from the studies promise to transform data-intensive crop knowledge discovery.
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Deep intelligence as a service: A real-time scheduling perspective
… a new type of cloud service, called {\em deep intelligence as a service\/}, that is expected to become increasingly common in the near future to support emerging ""smart"" embedded applications. This work offers a real-time scheduling model motivated by the special needs of embedded …
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Algorithm Hardware Codesign for High Performance Neuromorphic Computing
… etc., there is an increasing demand to apply machine intelligence on these power limited scenarios. Though deep learning has achieved impressive performance on various realistic and practical tasks such as anomaly detection, pattern recognition, machine vision etc., the ever-increasing …
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On the Performance of Butterfly Approximations on the Graphcore IPU
… consumption. In recent years, due to advances in machine learning, a number of custom parallel processing units have been released, out of which, the Intelligence Processing Unit (IPU) is based on the world's first graph toolchain designed for machine intelligence. This thesis investigates whether …
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Architectural epidemiology : a computational framework
… that aims to leverage both human and machine intelligence to do so. First, I outline the need for structured architectural datasets that capture spatial information in schemas that current drawing formats do not allow. These datasets need to be wide to capture multifaceted and …
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Energy-efficient Neuromorphic Computing for Resource-constrained Internet of Things Devices
… means to achieve fast and energy-efficient machine intelligence applications for IoT devices. The programming of neuromorphic computing hardware typically involves the construction of a spiking neural network (SNN) capable of being deployed onto the designated neuromorphic hardware. This …
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A Rhetoric Of Technology: The Discourse In U.S. Army Manuals And Handbooks
… society and our increasing dependence on machine intelligence.
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Egocentric Action Anticipation
… events, and is a key component of both human and machine intelligence. Egocentric videos provide a unique perspective on a person's hands and the objects they manipulate, which is crucial for understanding current activities and anticipating the future. We focus on the task of predicting the …
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Automated analysis of musical structure
… using a framework combining music cognition, machine learning and signal processing. It will inquire scientifically into the nature of human perception of music, and offer a practical solution to difficult problems of machine intelligence for automatic musical content analysis and pattern …
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