Search Results - Software+and+Computing

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Multimodal Retrieval and Execution Monitoring Using Rich Recipe Representation
Reference #: 01587 The University of South Carolina is offering licensing opportunities for Multimodal Retrieval and Execution Monitoring Using Rich Recipe Representation Background: The content of recipes like for preparing food or assembling furniture exist as textual or image documents which makes it difficult for machines to read, reason and...
Published: 9/14/2022   |   Inventor(s): Biplav Srivastava, Vishal Pallagani, Revathy Chandrasekaran Venka, Vedant Khandelwal, Kausik Lakkaraju
Keywords(s): Multimodal representation, Recipe search and recommendation, recipes, Workflows execution
Category(s): Software and Computing
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: 9/6/2022   |   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
A method for assessing disparate impact in internet markets
Reference #: 01605 The University of South Carolina is offering licensing opportunities for A method for assessing disparate impact in internet markets Background: Companies increasingly use computer algorithms to make automatic business decisions (e.g., prices) and personalize these decisions for each consumer. Algorithms, however, may unknowingly...
Published: 8/30/2022   |   Inventor(s): Rafael Becerril-Arreola
Keywords(s): Algorithm Auditing, Retail Auditing
Category(s): Software and Computing, Research Tools
Over-the-Air Computation Methods Based on Balanced Number Systems for FEEL
Reference #: 01612 The University of South Carolina is offering licensing opportunities for Over-the-Air Computation Methods Based on Balanced Number Systems for FEEL Background: Federated edge learning (FEEL) is a distributed learning framework that leverages the computational powers of edge devices (EDs) and uses the local data at the EDs without...
Published: 8/30/2022   |   Inventor(s): Alphan Sahin
Keywords(s): federated learning, non-coherent computation, over-the-air computation, quantization, signed-digit number system
Category(s): Software and Computing, Engineering and Physical Sciences
Routes Optimization System Based on Railroad and Street Traffic Information
Reference #: 01565 The University of South Carolina is offering licensing opportunities for Routes Optimization System Based on Railroad and Street Traffic Information Background: Current navigation systems, such as Google Maps, Apple Maps, calculates the optimal route based on the street traffic information. But still, the travelers would need to...
Published: 8/8/2022   |   Inventor(s): Yu Qian, Yuche Chen
Keywords(s): delay, dynamic programming, optimal route selection, Railroad crossing blockage, street traffic
Category(s): Software and Computing, Engineering and Physical Sciences
Methods for Long-Range Federated Edge Learning with Chirp-Based Over-the-Air Computation
Reference #: 01574 The University of South Carolina is offering licensing opportunities for Methods for Long-Range Federated Edge Learning with Chirp-Based Over-the-Air Computation Background: Federated edge learning (FEEL) deploys federated learning (FL) over a wireless network, in which many edge devices (EDs) participate in training using locally...
Published: 8/2/2022   |   Inventor(s): Safi Shams Muhtasimul Hoque, Alphan Sahin
Keywords(s): chirp, DFT-s-OFDM, Distributed learning, federated edge learning, LoRa, orthogonal frequency division multiplexing, over-the-air computation, peak-to-mean envelope power ratio, pulse-position modulation
Category(s): Engineering and Physical Sciences, Software and Computing
Scalable two-phase cooling plates
Reference #: 01575 The University of South Carolina is offering licensing opportunities for Scalable two-phase cooling plates Background: Two-phase cooling usually fails at relatively low heat loads due to the loss of liquid supply. For real applications, two-phase cooling technologies need to match the size of electronic components. However, the...
Published: 7/21/2022   |   Inventor(s): Chen Li, Wei Chang, Enrico Santi, Bo Tian
Keywords(s): cold plate, high power device, Thermal management, Two-phase cooling
Category(s): Engineering and Physical Sciences, Software and Computing
Methods for Multi-cell Over-the-Air Computation for Distributed Learning
Reference #: 01573 The University of South Carolina is offering licensing opportunities for Methods for Multi-cell Over-the-Air Computation for Distributed Learning Background: Federated edge learning (FEEL) is a distributed learning framework that leverages the computational powers of edge devices (EDs) and uses the local data at the EDs without...
Published: 7/21/2022   |   Inventor(s): Mohammad Hassan Adeli, Alphan Sahin
Keywords(s): Distributed learning, federated edge learning, frequency-shift keying, orthogonal frequency division multiplexing, over-the-air computation, peak-to-mean envelope power ratio
Category(s): Engineering and Physical Sciences, Software and Computing
Combining Pulmonary Function Test Data with Other Clinical Data
­ Reference #: 01323 The University of South Carolina is offering licensing opportunities for Combining Pulmonary Function Test Data with Other Clinical Data Background: According to the Centers for Disease Control there are approximately 25 million Americans with asthma and 15 million Americans with COPD. COPD is the third most common cause...
Published: 6/9/2022   |   Inventor(s): Richard Hoppmann, Keith Barron, Robert (Toufic) Haddad, Duncan Norton
Keywords(s):  
Category(s): Health Sciences, Software and Computing
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: 1/19/2022   |   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
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