artificial+intelligence Results | Available Intellectual Property | Rensselaer Polytechnic Institute

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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   |   Updated: 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   |   Updated: 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   |   Updated: 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   |   Updated: 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   |   Updated: 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
Coordinated Environment Comfort Control of Multi-zone, multi-occupant spaces through Adaptive Learning, Occupant Feedback and Energy Usage Tracking
RPI ID: 2015-009-401Innovation Summary:This invention introduces an intelligent energy management system for buildings with multiple zones and occupants. It includes distributed environmental sensors and an adaptive learning model that correlates historical HVAC behavior with comfort preferences. The system receives real-time feedback from occupants...
Published: 7/21/2025   |   Updated: 7/3/2025   |   Inventor(s): Santosh Gupta, Koushik Kar, Sandipan Mishra, John Wen
Keywords(s): Artificial Intelligence, Biomedical Engineering, cells, Cultures, Disease Modeling, Electrospun Fibers, In Vitro Culture, Material Sciences\Engineering, Nanomaterials, Nanotechnology, Nerve Regeneration, Polymer Chemistry, Polymer Nanocomposites
Category(s): Energy, Environment and Smart Systems