Invention Description Personalized human-sensing systems, especially in clinical and health applications, often struggle with limited user-specific data and significant variability between individuals. Differences in physiology, behavior, and environmental conditions can cause performance drops when models trained on general datasets are applied to...

Invention Description Collision-resilient quadrotors are designed to leverage impacts and perform agile maneuvers in cluttered environments; however, current models face a trade-off between two limited modes: Rigid protection and flexible adaptation. With rigid protection designs, there are safeguards that prevent damage, but they cannot deform to...

Invention Description Multimodal large language models (MLLMs) have shown strong potential in analyzing complex data types such as images, video, and audio, prompting growing interest in their use for medical applications. While several general-domain MLLMs have been adapted for healthcare tasks, including retinal imaging, their performance remains...

Invention Description Retrieval-Augmented Generative (RAG) models boost generative AI’s accuracy by connecting large language models (LLMs) with the most current, external, knowledge sources. RAG models are widely used in fact-checking, information retrieval, and AI-driven search engines. Despite their utility, adversarial threats can exploit...

Invention Description Conducting learning-based models on large-scale unstructured geometric data, particularly volumetric 3D meshes, remains a significant challenge. While previous methods have employed graph convolutional approaches, they suffer from high space complexity, limiting efficient mini-batch training, as well as fixed short-range feature...

Invention Description Protein allostery is important in many biological processes and drug development. Understanding the mechanisms involved would be highly beneficial for therapeutic interventions. Existing techniques focus primarily on equilibrium dynamics and network analysis for allosteric interaction mapping. Unfortunately, these are limited...

Invention Description Viral evolution, particularly rapid viral evolution, can lead to the emergence of variants of concern. In order to develop effective antiviral strategies, it is essential to understand the molecular mechanisms driving these adaptations. Some research has focused on identifying adaptive mutations and how they impact protein structure...

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...