Search Results - artificial+intelligence

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Diabetic Foot Examiner
This technology enables diabetic patients to detect foot ulcers easily and effectively at home. Background: Diabetic foot ulcers are a significant health problem (15% baseline probability) in the growing diabetic population. Foot ulcers can become infected and lead to hospitalization or even amputation. The best way to address this disease is through...
Published: 3/13/2026   |   Inventor(s): Ronald Miller
Keywords(s): artificial intelligence, diabetes, Technologies
Category(s): Campus > Upstate Medical University, Technology Classifications > Healthcare
HOME: High-Order Mixed-Moment-based Embedding for Representation Learning
RPI ID: 2023-002-301, 2023-002-401 Innovation Summary: This technology introduces a novel embedding framework for representation learning that leverages high-order mixed statistical moments to capture complex data relationships. The system enhances feature extraction by encoding richer structural and distributional information from input data. It...
Published: 3/10/2026   |   Inventor(s): Chuang Niu, Ge Wang
Keywords(s): Artificial Intelligence, deep learning, self-supervised reapresentation learning
Category(s): Computational Science and Engineering
Task-Oriented Deep Learning Image Denoising
RPI ID: 2022-015-201 Innovation Summary: A deep learning-based image denoising method tailored to specific tasks such as segmentation or classification. Unlike generic denoising, it preserves features critical to downstream analysis. The model adapts its strategy based on the intended application, improving performance in real-world scenarios. It is...
Published: 3/10/2026   |   Inventor(s): Jiajin Zhang, Hanqing Chao, Ge Wang, Pingkun Yan
Keywords(s): Artificial Intelligence, deep learning, Image Denoising, image quality, medical imaging
Category(s): Computational Science and Engineering
Self-Supervised Representation Learning Through Multi-Segmental Discriminative Coding
RPI ID: 2022-058-301, 2022-058-401 Innovation Summary: This invention introduces a self-supervised representation learning (SSRL) system that utilizes multi-segmental informational coding to enhance data representation. The SSRL circuitry includes transformer-based components designed to process input data without requiring labeled examples. By leveraging...
Published: 3/10/2026   |   Inventor(s): Ge Wang, Chuang Niu
Keywords(s): Artificial Intelligence, deep learning, self-supervised reapresentation learning
Category(s): Computational Science and Engineering
End-to-end machine learning based multi-modal multi-dimensional image registration
RPI ID: 2021-050-201 Innovation Summary: This system performs multi-modal, multi-dimensional image registration using a hybrid approach that combines spatial mapping and intensity-based alignment. It supports registration across imaging modalities such as MRI, CT, and PET. The method improves accuracy in anatomical and functional image fusion. It is...
Published: 3/10/2026   |   Inventor(s): Hengtao Guo, Xuanang Xu, Xinrui Song, Pingkun Yan
Keywords(s): Artificial Intelligence, deep neural networks, image fusion, medical image registration, medical image-guided intervention
Category(s): Biotechnology and the Life Sciences
Machine Learning for Individual Moral Decision Making
RPI ID: 2020-045-401 Innovation Summary: A machine learning framework is developed to model and predict individual moral decision-making behavior. The system uses behavioral data and contextual inputs to train personalized models that reflect ethical preferences. It supports applications in autonomous systems, education, and behavioral research. The...
Published: 3/10/2026   |   Inventor(s): Christopher Wiedeman, Uwe Kruger, Ge Wang
Keywords(s): AI, Artificial Intelligence, deep learning, ethics, Moral Machine experiment
Category(s): Biotechnology and the Life Sciences
Distributed Neuromorphic Control
Advantages Significantly lowers power consumption by replacing continuous control updates with event-driven spike-based actuation Reduces communication load in multi-agent networks through sparse, asynchronous information exchange Delivers provable stability and guaranteed minimum inter-event timing to ensure reliable operation Enables scalable...
Published: 2/20/2026   |   Inventor(s): Tansel Yucelen
Keywords(s): Artificial Intelligence, Internet of Things / IoT, Robotics
Category(s): Technology Classifications > Computer Science > Algorithms, Technology Classifications > Engineering > Sensors
AI Course Companion
Advantages Provides 24/7, course-specific AI tutoring grounded in instructor-uploaded materials Seamless Canvas integration for rapid institutional deployment Actionable instructor dashboard with anonymized learning analytics Configurable safeguards including exam downtimes and homework filtering Scalable cloud-based infrastructure Summary Students...
Published: 2/18/2026   |   Inventor(s): Oguzhan Topsakal
Keywords(s): Artificial Intelligence
Category(s): Technology Classifications > Arts and Humanities > Edtech, Technology Classifications > Data/AI > Cybersecurity - Data/AI
HistoTME: an AI tool for prediction of the tumor microenvironment molecular composition from histopathology images
HistoTME is an AI software that predicts the tumor microenvironment’s molecular makeup from standard pathology images, helping identify lung cancer patients likely to benefit from immunotherapy without needing costly molecular tests. Background: The tumor microenvironment (TME) plays a crucial role in the progression and treatment response...
Published: 2/3/2026   |   Inventor(s): Tamara Jamaspishvili, Sushant Patkar, Alex Chen, Stephanie Harmon, Ismail Turkbey
Keywords(s): artificial intelligence, cancer, computational biology, digital image processing, disease diagnosis, Technologies
Category(s): Technology Classifications > Computer Software, Campus > Upstate Medical University, Technology Classifications > Medical Imaging
Exploiting Vulnerabilities and Security Threats in Retrieval-Augmented Generative Models: The LIAR Attack Framework
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...
Published: 2/26/2026   |   Inventor(s): Zhen Tan, Chengshuai Zhao, Raha Moraffah, Huan Liu
Keywords(s): Artificial Intelligence, Data Mining, Large Language Models, Machine Learning, Natural Language Processing
Category(s): Artificial Intelligence/Machine Learning, Cybersecurity, Computing & Information Technology, Intelligence & Security, Physical Science
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