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 Heterogeneous composite materials, such as ceramic matrix composites (CMCs), are increasingly employed in high-temperature and extreme-environment applications due to their superior specific strength, thermal stability, and damage tolerance. The macroscopic response of these materials is governed by complex interactions among...

Invention Description The rapid growth of air traffic has placed increasing strain on modern Air Traffic Management (ATM) systems, particularly in congested airspaces where safety and efficiency are critical. Traditional static airspace sectorization methods are increasingly inadequate for handling dynamic traffic patterns and uneven workload distribution...

Invention Description Detecting bright point scatterers is important to quality assessments of sonar, radar and medical imaging systems, particularly as it pertains to resolution characterization. Prominent, or coherent, scatterers are typically detected using thresholding techniques in addition to statistical measures in the detection processing chain....

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...

Invention Description Pediatric Inflammatory Bowel Disease (IBD), encompassing Crohn’s Disease and Ulcerative Colitis, presents significant clinical challenges due to its complex and heterogeneous nature, often leading to lifelong health complications. Current diagnostic and therapeutic strategies are limited by an incomplete understanding of...

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....