Search Results - artificial+intelligence

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Assigning Trust Rating to AI Services Using Causal Impact Analysis

Reference #: 01617 The University of South Carolina is offering licensing opportunities for Assigning Trust Rating to AI Services Using Causal Impact Analysis Background: Today, it is very difficult for an AI user to know what the AI service is doing. This leads to users not trusting AI and most developers, who are genuine users and reuse others’...

Published: 2/28/2024 | Inventor(s): Biplav Srivastava, Kausik Lakkaraju, Marco Valtorta

Keywords(s): AI, artificial intelligence, black-box testing, causal models, fairness, rating, software testing, trust

Category(s): Software and Computing

Mechanism and Methods for Robotic Installation of Stakes

Reference #: 01582 The University of South Carolina is offering licensing opportunities for Mechanism and Methods for Robotic Installation of Stakes Background: Currently, as part of the bell pepper planting process, stakes are needed to provide support for the plant as it begins to grow from a two-three-week-old plant to a fully mature plant. This...

Published: 1/26/2023 | Inventor(s): Sourav Banerjee, Corey Leydig

Keywords(s): AI, architectural, artificial intelligence, autonomous, robotics, stake installation

Category(s): Environmental and Sustainability

Using Artificial Intelligence to Assess Difficulty Level of Ultrasound Examinations

Reference #: 01503 The University of South Carolina is offering licensing opportunities for Using Artificial Intelligence to assess difficulty level of ultrasound examinations. Background: The use of ultrasound is rapidly expanding across virtually all levels of medical practice. Ultrasound is a very operator-dependent modality compared to other...

Published: 9/12/2023 | Inventor(s): Richard Hoppmann, Floyd Bell, Robert (Toufic) Haddad, Keith Barron

Keywords(s): AI, artificial intelligence, Assessment, Competency, Gamification, Scanning, Simulation, Ultrasound

Category(s): Health Sciences, Biomedical and Life Sciences, Software and Computing

AI method-apparatus for extracting crack-length from high-frequency AE signals

Reference #: 01536 The University of South Carolina is offering licensing opportunities for AI method-apparatus for extracting crack-length from high-frequency AE signals Background: In metallic structures, fatigue cracks are inevitable and need to be detected and quantified. However, the crack length information is hard to be estimated. It is imperative...

Published: 9/3/2022 | Inventor(s): Victor Giurgiutiu, Hanfei Mei, Joseph Garrett, Kimberly Cardillo

Keywords(s): acoustic emission, artificial intelligence, crack length, fatigue crack growth, finite element simulation, machine learning, standing wave, structural health monitoring

Category(s): Engineering and Physical Sciences

Projection System for Visual Morphing of Patient Disease

Reference #: 01430 The University of South Carolina is offering licensing opportunities for Projection System for Visual Morphing of Patient Disease Background: Many patients fail to truly understand the implications of their condition. They sometimes neglect how their disease can progress and thus do not prioritize their medications and needed lifestyle...

Published: 12/20/2022 | Inventor(s): Richard Hoppmann, Steven Wilson, Robert (Toufic) Haddad, Floyd Bell

Keywords(s): age-progression, AI, artificial intelligence, deep learning, disease-progression, education, educational device, Medical images, morphing, pathology, predictions, real-time

Category(s): Health Sciences, Software and Computing

A Gene to Transcriptome Association Platform for Drug Target Identification

Reference #: 01465 The University of South Carolina is offering licensing opportunities for A Gene to Transcriptome Association platform for drug target identification Background: Data accumulation through genomic and transcriptomic analyses require novel tools/strategies for the extraction of biologically relevant and clinically useful information....

Published: 1/2/2024 | Inventor(s): Ioulia Chatzistamou, Hippokratis Kiaris, Youwen Zhang

Keywords(s): AI, artificial intelligence, drug discovery, target identification

Category(s): Health Sciences, Biomedical and Life Sciences