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 50 for “"AI Applications"”.
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Towards Energy-Efficient Edge Computing for tiny AI Applications
<p>As artificial intelligence (AI) applications become more common on the edge of networks, like Raspberry Pi servers, it is crucial to optimize their energy use. This research project investigates how AI algorithms affect energy efficiency and resource usage on Raspberry Pi servers. Two models …
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Memristor-based hardware accelerators: from device modeling to AI applications
L'abstract è presente nell'allegato / the abstract is in the attachment
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Exploring AI Applications in Low-Dose CT Machines to Generate Better Lung Cancer Spatiotemporal Statistics: San Diego County Case Study
… including the Artificial Intelligence (AI) discipline in radiological settings. Spatiotemporal data is an integral part of Geographic Information Systems (GIS). The International Agency for Research on Cancer (IARC) and the Center for Disease Control and Prevention show that the current …
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Analysis Into Artificial Intelligence and Its Developing Dynamic and Relationship in Agricultural Supply Chains
<p>The thesis explores artificial intelligence (AI) in agricultural (Ag) supply chains (SCs) and presents a new typology to understand artificial intelligence-based solutions in agricultural SCs. The thesis was performed utilizing a research-based review to investigate the current uses of …
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Spatial Accelerator Generation and Optimization for Tensor Applications
Modern foundation models and generative AI applications require multiple input modalities (both vision and language), which increases the demand for flexible accelerator architecture. Existing frameworks suffer from the trade-off between design flexibility and productivity of RTL generation: either …
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Tools to create and democratize conversational artificial intelligence
… the skill set needed to develop conversational AI applications increases as well. This work bridges the gap, democratizes AI technology, and empowers technology consumers to become technology developers. In this thesis, I develop block-based Alexa Skill programming tools, enabling anyone -- even …
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AI Integration in Higher Education: A Content Analysis on AI Sophistication and Student Outcomes/Skill Development as Reported in Empirical Studies (2019-2024)
… the integration of Artificial Intelligence (AI) in higher education to enhance student outcomes, focusing on AI complexity, student outcomes, and effect sizes. Through a content analysis of 47 peer-reviewed empirical articles from 2019 to Mid 2024, the research identified various AI …
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Characterizing Algorithmic Performance in Machine Learning for Education
The integration of artificial intelligence (AI) in educational systems has revolutionized the field of education, offering numerous benefits such as personalized learning, intelligent tutoring, and data-driven insights. However, alongside this progress, concerns have arisen about potential …
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Efficient reinforcement learning through variance reduction and trajectory synthesis
… has been proven promising for many important AI applications, such as robotics, self-driving vehicles. However, current reinforcement learning algorithms suffer from large variance and sampling inefficiency, which leads to slow convergent rate as well as unstable performance. In this thesis, …
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Neural network based learnings in support of two application domains
Artificial intelligence (AI) empowers machines to mimic the behaviors and thoughts of humans. With this technology now being used in all walks of life, it powers many real-world applications, ranging from language understanding to facial recognition. This thesis explores AI applications in two …
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ARTIFICIAL INTELLIGENCE IN PUBLIC WELFARE POLICIES: ADOPTIONS, PERCEPTIONS AND TRUST
… widespread adoption of Artificial Intelligence (AI) in the public sector have on society? I was inspired by this question to conduct five studies using multidisciplinary and multi-methods research designs. While most research focuses on the private sector or pioneering countries in digitalization …
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An investigation of observed Algorithmic Specified Complexity.
… tool, specifically in the area of classification AI, and how well the theory around it predicts the characteristics of random numbers. One evaluated an approach to measuring ASC in pictures by how well it helped in classification, and the other compared predictions and observations of the …
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Biologically inspired computational neural models for motivated behavior, learning, and memory
The fields of artificial intelligence (AI) and machine learning have vastly expanded in the past decade, with a variety of modern applications, ranging from computer vision to language processing and medical diagnostics. While the majority of AI applications involve data classification, detection, …
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Building Modular, Human-Interpretable AI Systems with Behavior Trees
… candidate for constructing solutions for many AI applications, advantages includes readily changeable and human-interpretable. Two main topics covered in this thesis are: 1) IKBT: solving inverse kinematics with behavior trees. IKBT demonstrates how manually designed behavior trees with …
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HarmonySched: Dynamically scheduling multiple concurrent machine learning models across a heterogeneous system on chip
… provided by such chips. Motivated by various AI applications, modern SoC systems integrate components such as GPUs and NPUs. Very few studies address scheduling multiple concurrent workloads and dynamically arriving workloads on these SoCs. This study introduces a dual-layer scheduling …
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Efficient Deep Learning with Sparsity: Algorithms, Systems, and Applications
… has been used across a broad spectrum of applications, including computer vision, natural language processing, and scientific discovery. However, behind its remarkable performance lies an increasing gap between the demand for and supply of computation. On the demand side, the computational …
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Can (S)He Close the Deal? The influence of Purchase Intention Through Gender-Assigned Artificial Intelligence
Artificial intelligence (AI) has become an increasingly integrated aspect of daily life. Particularly, businesses have been incorporating AI into many of their features from customer support to product personalization. While there has been a body of research exploring the interpersonal impacts of …
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AI adoption in Icelandic tech startups : applications, barriers, and future opportunities
… the adoption of artificial intelligence (AI) within Iceland's tech startups, addressing a research gap in smaller economies. Leveraging the Technology-Organization-Environment (TOE) framework, the study examines current AI applications, barriers to adoption, and future opportunities among …
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Artificial Intelligence in Human Spaceflight Safety-Critical Systems: A Requirements Framework for AI-Enabled Computer-Based Control Systems
… standard that addresses the safe integration of AI into computer-based control systems (CBCS) in human spaceflight. The computer-based control expectations of those safety-critical systems on the International Space Station (ISS) are captured in SSP 50038, Computer-Based Control System Safety …
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Study of vdW Magnetic Materials for Spintronic Applications
Energy consumption of artificial intelligence (AI) systems are projected to grow at an alarming rate over the next two decades and stand to stress the global energy sector. A way forward is to replace the traditional von-Neumann computing hardware with technologies like neuromorphic and stochastic …
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