Search Results - Artificial+Intelligence%2fMachine+Learning

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  1. Understanding the relationship between protein sequence-structure and binding dynamics is not well understood. Of particular interest is the ability to relate foldability and function of a protein and the ability to characterize how foldability and binding change based on mutations in the protein sequence. WW domains are one of the most abundant independently...
    Published: 6/3/2025
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  2. Histological whole slide image (WSI) processing techniques are critical for identifying and classifying tissues, particularly cancerous tissues. AI-aided methods for analyzing these WSIs have become increasingly important to enhance diagnostic precision and high throughput processing. However, WSIs have gigapixel resolution, leading to computational...
    Published: 5/28/2025
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  3. Background Positive unlabeled (PU) learning is a semi-supervised machine learning approach to a binary classification problem in which most of the data is unlabeled. PU learning algorithms reduce the computational cost of training machine learning classifiers, because the labeling of data is time-intensive for supervised machine learning algorithms....
    Published: 5/21/2025
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  4. Background Piping and instrumentation diagrams (P&IDs) are technical drawings used to operate and maintain process systems. P&IDs are typically used to identify components and quantities needed for ongoing projects, and to understand the layout and operation of the process system with completed projects. The information provided from P&IDs...
    Published: 5/21/2025
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  5. Background Private transportation is currently the most common form of transportation in the United States. Cars are an essential commodity, with each household in America typically having at least one car. However, finding an open parking space can be a daunting task, especially with the surge in the number of city vehicles. Navigating through a...
    Published: 5/21/2025
    Inventor(s): Junfeng Zhao
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  6. Background A field-programmable gate array (FPGA) is a reprogrammable integrated circuit (IC) that can be configured for many different uses. FPGAs are essentially chips that can configured to perform specific tasks after they are manufactured. A multi-tenant FPGA is one that is designed to be shared by multiple, potentially independent, users or “tenants”....
    Published: 5/21/2025
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  7. Background Commercial drone delivery systems are increasingly used, particularly in the US and in China, with over 2000 deliveries occurring in 2022. Drone delivery systems have many advantages over conventional delivery systems, including lower costs, faster deliveries, and increased energy efficiency. However, drone delivery systems can lead to increased...
    Published: 5/20/2025
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  8. Background Generative pre-trained transformers (GPT) have grown in recent years in a number of natural language processing applications, largely due to the powerful openly available software and easy-to-use natural language interfaces. Transformers can provide a flexible and powerful model that generalizes the earlier forms of neural networks by using...
    Published: 5/20/2025
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  9. Air quality monitoring is critical for environmental health and public safety. Traditional monitoring methods rely on passive and active air sampling techniques, which, while effective, are cumbersome, expensive and limited with respect to real-time data and comprehensive analyses. In high-risk environments, such as hospital or care settings, and food...
    Published: 5/19/2025
    Inventor(s): Amir Elyaderani
  10. Parkinson’s disease (PD) is a progressive neurodegenerative disorder of the central nervous system affecting both motor and non-motor functions. It is characterized by weakened and damaged neurons and eventually neuronal death. PD significantly impacts quality of life, thus in-home monitoring, particularly of Freezing of Gait (FoG), is paramount...
    Published: 5/28/2025
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