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...

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....

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...

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...

Wireless networks have seen exponential growth in popularity due to the inherent accessibility provided by the broadcast nature of the wireless medium. However, this ease of reception also introduces significant security vulnerabilities. Within the range of wireless transmissions between transmitters and legitimate receivers, passive eavesdroppers can...

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....

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...

The importance and health benefits of routine exercise are widely recognized. Because of this, there have been numerous devices and methods devised to track and quantify exercises. Some devices count steps, like the pedometer, while others measure body responses to exercise, suhttp://azte.technologypublisher.com/files/sites/ncs-m14-180l.pdfch as heart...

Unknown-unknowns are operational scenarios in AI enabled autonomous systems, such as human-in-the-loop (HIL) human-in-the-plant (HIP) systems, which are not accounted for and may represent a major challenge in the design and validation phase. In these scenarios, the operational behavior of the systems is not guaranteed to meet requirements such as safety...

Maintaining normal glucose levels through dietary and lifestyle behaviors can help with losing weight, optimizing mental health, suppressing food cravings, improving sleep, managing diabetes, and reducing risks of developing cardiovascular disease. Dysglycemia can lead to chronic complications such as diabetes, kidney disease, myocardial infarction,...