Search Results - artificial+intelligence%2fmachine+learning

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Quantum Positive Unlabeled Learning Algorithms with Applications to Energy
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   |   Inventor(s): Andreas Spanias, Salil Naik, Leslie Miller, Kristen Jaskie, Glen Uehara
Keywords(s):  
Category(s): Physical Science, Artificial Intelligence/Machine Learning, Energy & Power, Wireless & Networking
Semi-Supervised Symbol Detection for Piping and Instrumentation Drawings
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   |   Inventor(s): Mohit Gupta, Thomas Czerniawski
Keywords(s):  
Category(s): Physical Science, Artificial Intelligence/Machine Learning, Manufacturing/Construction/Mechanical
Intelligent Parking Guidance System
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
Keywords(s):  
Category(s): Artificial Intelligence/Machine Learning, Intelligence & Security, Physical Science, Wireless & Networking
Detection of Stealthy Bitstreams in Cloud FPGAs using Graph Convolutional Networks
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   |   Inventor(s): Jayeeta Chaudhuri, Krishnendu Chakrabarty
Keywords(s):  
Category(s): Physical Science, Intelligence & Security, Artificial Intelligence/Machine Learning, Wireless & Networking
Cyber Risk Loss Modeling for Drone Delivery Systems
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   |   Inventor(s): Stefano Chiaradonna, Petar Jevtic, Nicolas Lanchier
Keywords(s):  
Category(s): Wireless & Networking, Artificial Intelligence/Machine Learning, Applied Technologies, Cybersecurity
Enhancing Sequence Generation with Rollout Algorithms
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   |   Inventor(s): Dimitri Bertsekas, Yuchao Li
Keywords(s):  
Category(s): Physical Science, Wireless & Networking, Artificial Intelligence/Machine Learning
Microbial Air Quality Monitoring System (MAQMS)
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
Keywords(s): CO2 sensor, Early Detection, Environmental, Informatics, PS-Bioengineering, Medical, Sensors, PS-Environmental, Public Health Technology, Real-Time System, Viral, Virus
Category(s): Artificial Intelligence/Machine Learning, COVID-19, Life Science (All LS Techs), Intelligence & Security, Environmental
Label-Efficient Learning and Continuous Monitoring of Motor Function Symptoms
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: 5/19/2025   |   Inventor(s): Hassan Zadeh, Shovito Barua Soumma
Keywords(s):  
Category(s): Artificial Intelligence/Machine Learning, Computing & Information Technology, Life Science (All LS Techs), Neurodegenerative Disease Technologies, Wearable
Multi-Modal Sensing-Aided Assessment and Feedback for Adaptive Language Learning
Background Mastering a language involves not only learning new alphabets and expanding vocabulary, but also mastering sentence construction, pronunciation, and effectively engaging in listening, speaking, reading, and writing activities. Each aspect presents unique challenges for learners, especially non-native speakers. Traditional methods of language...
Published: 5/13/2025   |   Inventor(s): Ahmed Alkhateeb, Gouranga Charan
Keywords(s):  
Category(s): Physical Science, Educational, Artificial Intelligence/Machine Learning
Systems and Methods for Global Horizontal Irradiance Forecasting for Photovoltaic Systems
Background As more large-scale solar arrays (utility-scale) are connected to the energy grid, predicting solar irradiance (e.g., the amount of sunlight hitting the panels) becomes crucial for accurately forecasting the power of these photovoltaic (PV) arrays. This is because solar power generation is highly dependent on sunlight, which is variable...
Published: 5/13/2025   |   Inventor(s): Andreas Spanias, Sameeksha Katoch, David Ramirez, Pavan Turaga, Cihan Tepedelenlioglu
Keywords(s):  
Category(s): Physical Science, Microelectronics, Artificial Intelligence/Machine Learning, Advanced Materials/Nanotechnology, Energy & Power
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