Search Results - artificial+intelligence%2fmachine+learning

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GLIMMER: Advanced Blood Glucose Prediction Model for Type 1 Diabetes
Invention Description Type 1 diabetes (T1D) is an autoimmune disease where the body attacks and destroys insulin-producing beta cells in the pancreas and affects nearly 10 million people globally. Because glucose needs to be continuously monitored for precise insulin dosing, managing T1D is challenging. While automated insulin delivery (AID) systems...
Published: 10/10/2025   |   Inventor(s): Hassan Zadeh, Saman Khamesian
Keywords(s):  
Category(s): Artificial Intelligence/Machine Learning, Computing & Information Technology, Life Science (All LS Techs), Medical Devices, Educational
Decentralized Excitable Integral Reinforcement Learning (dEIRL) for Hypersonic Vehicles
Continuous-time reinforcement learning (CT-RL) algorithms hold great promise in real-world control applications. Adaptive dynamic programming (ADP)-based CT-RL algorithms, especially their theoretical developments, have achieved great successes. However, these methods have not been demonstrated for solving realistic or meaningful learning control problems....
Published: 9/19/2025   |   Inventor(s): Brent Wallace, Jennie Si
Keywords(s):  
Category(s): Applied Technologies, Artificial Intelligence/Machine Learning, Computing & Information Technology, Intelligence & Security, Physical Science
Novel Framework for Diagnosing Spatial Representativeness Ground Snow Stations in Variable Terrain
Background Ground-based snow monitoring stations have long supported water management, forecasting, and planning. Recent advancements in remote sensing technology have improved the ability to monitor snow cover at broader scales. Satellite imagery, such as that from the Moderate Resolutiion Imaging Spectroradiometer (MODIS), have been used to track...
Published: 9/19/2025   |   Inventor(s): Zhaocheng Wang, Enrique Vivoni, Jaya Venkatesh Jaya Baskar, Maneesh Sarma Sistla Naga Sai
Keywords(s):  
Category(s): Artificial Intelligence/Machine Learning, Computing & Information Technology, Environmental, Imaging, Physical Science, Wireless & Networking
System and Methods for Epipolar Plane Imaging in Event-Based Cameras for Depth Estimation
Event-based cameras that asynchronously detect changes in pixel brightness with high temporal resolution, high dynamic range, and low-power, have been very successful for robotic vision and autonomous navigation. Depth estimation from monocular or stereo event cameras is an important task which helps improve downstream robotic localization and mapping...
Published: 9/18/2025   |   Inventor(s): Joshua Rego, Sanjeev Koppal, Suren Jayasuriya
Keywords(s):  
Category(s): Artificial Intelligence/Machine Learning, Computing & Information Technology, Cybersecurity, Intelligence & Security, Physical Science, Imaging
Excitable Integral Reinforcement Learning (EIRL)
This algorithm is developed in the field of control systems for control of affine nonlinear continuous time (CT) systems, which include important application areas such as robotics and autonomous systems, aerospace, manufacturing, and process control. This invention falls under the class of continuous-time reinforcement learning (CT-RL) control algorithms....
Published: 9/12/2025   |   Inventor(s): Jennie Si, Brent Wallace
Keywords(s):  
Category(s): Artificial Intelligence/Machine Learning, Physical Science, Applied Technologies, Computing & Information Technology, Intelligence & Security
Superior Computer Chess with Model Predictive Control, Reinforcement Learning, and Rollout Algorithms
Modern AI for strategic games including chess has evolved from early rule-based systems such as brute force engines that relied on handcrafted heuristics and exhaustive search, to sophisticated learning-based methods that can create and refine their own strategies. Reinforcement learning (RL) programs including Alpha Zero mastered chess starting with...
Published: 9/9/2025   |   Inventor(s): Dimitri Bertsekas, Yuchao Li, Atharva Gundawar
Keywords(s):  
Category(s): Artificial Intelligence/Machine Learning, Computing & Information Technology, Physical Science
AI-Accelerated Parallel Power Flow Analysis in Electrical Power Grids
Background Modern electrical grids tend to have higher penetration of intermittent energy sources. The grid infrastructure is also more susceptible to physical damage due to increased extreme weather events. Grid operators have to run multiple power flows for different scenarios in real time to continuously monitor the system states and make necessary...
Published: 10/2/2025   |   Inventor(s): Amarsagar Reddy Ramapuram Matavalam, Shaban Ghias Satti
Keywords(s):  
Category(s): Energy & Power, Physical Science, Artificial Intelligence/Machine Learning
Multi-Parameter Simulation Generative Adversarial Network (MPS-GAN)
Background Quality in manufacturing ensures the adherence of built products to the specifications set by the designer and their proper functioning when put into operation. An important factor influencing products’ quality is the contamination of process (or build) parameters used during the manufacturing process. The choice of these build conditions...
Published: 8/21/2025   |   Inventor(s): Shenghan Guo, Hasnaa Ouidadi
Keywords(s):  
Category(s): Physical Science, Artificial Intelligence/Machine Learning, Wireless & Networking, Applied Technologies
Machine Learning-Enhanced Aircraft Landing Schedule Algorithm
Background The civil aviation industry is losing air traffic control talents during a time when the need for maintaining daily operations is surging. This situation leads to increased operational costs, higher safety concerns, an elevated workload for air traffic controllers, and frequent flight delays. It is reported that 20% of the civil flights...
Published: 8/21/2025   |   Inventor(s): Yongming Liu, Yutian Pang, Jueming Hu
Keywords(s):  
Category(s): Physical Science, Artificial Intelligence/Machine Learning, Applied Technologies
Exploiting Class Probabilities for Black-Box Sentence-Level Attacks
Background Text classification models have become increasingly prevalent in cybersecurity applications, but remain susceptible to adversarial examples (e.g., carefully crafted sentences with human-unrecognizable changes to the inputs, that are misclassified). Adversarial attacks provide profound insights into the classifiers’ vulnerabilities,...
Published: 9/15/2025   |   Inventor(s): Raha Moraffah, Huan Liu
Keywords(s): Machine Learning, Natural Language Processing, Red teaming, Security
Category(s): Physical Science, Applied Technologies, Artificial Intelligence/Machine Learning, Cybersecurity
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