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PIER: Physics-Informed, Energy-efficient, Risk-aware Routing

Description: PIER is a cutting-edge maritime routing technology leveraging offline reinforcement learning combined with physics-based modeling and multi-objective optimization. It features a three-stage architecture that accurately predicts vessel speed, generates Pareto-optimal routes balancing time, fuel, and risk, and executes safe, fuel-efficient...

Published: 3/10/2026 | Updated: 3/10/2026 | Inventor(s): Aniruddha Bora

Keywords(s): Maritime Navigation, Reinforcement Learning, Transportation

Category(s): Data/AI, Transportation

System and Method for Adaptive Multi-Domain Data Fusion and Agent-Based Prescriptive Analysis

Description: Fusion Nexus features an Adaptive Data Fusion Architecture that transforms diverse and unstructured data into a standardized numerical format suitable for AI processing. It employs a network of intelligent agents managed by the Model Context Protocol (MCP), including Micro-MCP Servers for initial data handling, a Data Standardization &...

Published: 3/10/2026 | Updated: 3/10/2026 | Inventor(s): Joseph Fuller, Alex Schneider, Jake Bram

Keywords(s): Artificial Intelligence, Data Fusion, Software

Category(s): Data/AI, Software

FPGA-Based Architecture for Quantum LDPC Error Correction

Description: This technology introduces a hardware-accelerated, distributed Quantum Low-Density Parity-Check (LDPC) decoder implemented on FPGA, designed to optimize the Union–Find decoding algorithm for scalable, high-throughput quantum error correction. By leveraging multiple BRAM banks to eliminate read/write contention and using a pipelined...

Published: 3/18/2026 | Updated: 3/10/2026 | Inventor(s): Geonhee Cho

Keywords(s): Error Correction, Quantum Computing Hardware, Semiconductors

Category(s): Semiconductors, Data/AI

SecureClaims AI

Description: SecureClaims AI is an innovative project designed to combat healthcare fraud by employing retrieval-augmented generation for realistic attack simulation combined with Bayesian adversarial reasoning to enhance fraud detection systems. It focuses on explainable decision-making and adaptability, allowing continuous evolution against emerging...

Published: 1/27/2026 | Updated: 12/16/2025 | Inventor(s): Tahir Ekin

Keywords(s): Artificial Intelligence, Healthcare Fraud Detection

Category(s): Data/AI

Log-Regulated Laplacian Sparse Functional Connectivity of fMRI Data

Description: This technology introduces two novel functional connectivity (FC) estimation methods—a Log-Regularized Laplacian Graph estimator and a K-Nearest Neighbors (KNN) Graph estimator—that generate sparse FC matrices from resting-state fMRI BOLD time series. By pruning weak and irrelevant connections, these methods reduce noise and...

Published: 3/31/2026 | Updated: 12/16/2025 | Inventor(s): Mylène Queiroz de Farias, Juliana Danso

Keywords(s): Data, Machine Learning, Neuroimaging

Category(s): Data/AI, Life Science

Uncertainty Estimation for Classification Algorithms through Confusion Matrix Analysis

Description: This technology improves upon traditional point estimates of model accuracy by implementing interval estimation techniques within Frequentist and Bayesian frameworks. Utilizing bootstrap and Monte Carlo sampling methods, it provides a robust measure of uncertainty for classification performance metrics, enhancing the reliability and interpretability...

Published: 12/16/2025 | Updated: 12/16/2025 | Inventor(s): Amir Liron, Francis Méndez Mediavilla

Keywords(s): Machine Learning, Software, Statistical Analysis

Category(s): Data/AI, Software

Discovering How People Come and Go: Inferring Queue Dynamics and System-Level Time Series Data

Description: This technology is a two-stage data-driven methodology that analyzes queue dynamics by leveraging time series data to infer arrival and service patterns. It utilizes a non-parametric screening stage followed by parametric estimation, enabling accurate analysis without needing detailed event-level data. Validated through simulations and...

Published: 12/16/2025 | Updated: 12/16/2025 | Inventor(s): Emily Zhu, Hafila Max Morais

Keywords(s): Data Analytics, Queue Theory

Category(s): Data/AI, Transportation

AI-Driven Plant Growth Optimization System

Description: This innovative technology integrates sensors, machine learning, and generative AI to collect multimodal plant data and simulate future growth scenarios, enabling real-time environmental adjustments and automated growth strategies to enhance plant health and productivity. Key Advantages: Proactive and automated plant growth optimization...

Published: 12/16/2025 | Updated: 12/16/2025 | Inventor(s): Bahram Asiabanpour

Keywords(s): Agricultural Technology, Artificial Intelligence, Precision Agriculture

Category(s): Agriculture, Data/AI

Embedded Agricultural Decision System and Autonomous Field Implementation (Farmer on a Chip)

Description: The "Farmer on a Chip" is an innovative system-on-chip or embedded processor designed to perform autonomous agricultural management by integrating sensing, data analysis, machine learning, and optional generative AI. It operates independently from centralized infrastructure, making real-time irrigation, fertilization, and plant...

Published: 12/16/2025 | Updated: 12/16/2025 | Inventor(s): Bahram Asiabanpour

Keywords(s): Agricultural Technology, Artificial Intelligence (AI), Edge Computing, Embedded Systems, Semiconductors

Category(s): Agriculture, Data/AI, Semiconductors

Automated Time Studies using Computer Vision and Large Language Models

Description: This technology uses advanced machine learning algorithms and computer vision techniques to automatically analyze video recordings of work processes, segmenting frames to identify and classify human actions like general movement or tool usage. It employs predetermined time study methods such as Basic MOST to estimate task durations accurately,...

Published: 3/4/2026 | Updated: 11/11/2025 | Inventor(s): Abhimanyu Sharotry, Jesus Jimenez, Francis Méndez Mediavilla, Aleah White, Noe Tavira, Lauren Cravy

Keywords(s): Computer Vision, Industrial Process Optimization, Machine Learning

Category(s): Data/AI, Engineering

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