BYU TECHNOLOGIES AVAILABLE FOR LICENSE
View our List of Promising Technologies (pdf)
Technologies
Galectin-1 immunomodulation and myogenic improvements in Muscle diseases and autoimmune disorders
ID: 2019-015 Galectin-1 immunomodulation and myogenic improvements in Muscle diseases and autoimmune disorders
Technologies
Galectin-1 Immunomodulation and Myogenic Improvements in Muscles Diseases and Autoimmune Disorders.
ID: 2021-045 Galectin-1 Immunomodulation and Myogenic Improvements in Muscles Diseases and Autoimmune Disorders.
Game-Changing AI for Sports Analytics: Measuring Real-Time Crowd Engagement
In this episode, BYU Tech Transfer Director Dave Brown and Bennett Mortensen discuss a cutting-edge AI-powered software developed at BYU to measure real-time crowd engagement at sports events. Tested successfully at a BYU basketball game, this software uses acoustic science and machine learning to analyze crowd noise and distinguish genuine audience engagement from general volume. The technology provides actionable data for sports arenas, event managers, and advertisers, allowing them to fine-tune fan experiences and even increase concession sales. Perfect for sports tech entrepreneurs and stadium managers, this episode unveils the potential of AI in enhancing live events.
Technologies
Gas phase approach to In-situ/ex-situ functionalization of porous graphite carbon via radical generated molecules
ID: 2010-010 Gas phase approach to In-situ/ex-situ functionalization of porous graphite carbon via radical generated molecules
Technologies
Gd-salt Aqueous solutions for Neutron-Capture Detectors
ID: 2020-043 Gd-salt Aqueous solutions for Neutron-Capture Detectors
Technologies
Generalized Acoustic Energy Density (GED)
ID: 2007-18 Generalized Acoustic Energy Density (GED)
Technologies
Generating Efficient and Robust Feature Descriptor using Synthetic Pattern for Vision Applications
ID: 2017-043 Generating Efficient and Robust Feature Descriptor using Synthetic Pattern for Vision Applications
Technologies
Generating Efficient Feature Descriptor Using Synthetic Pattern (2017-043)
ID: 2016-023 Generating Efficient Feature Descriptor Using Synthetic Pattern (2017-043)
Generative AI Governance: Dave Brown and Bennett Mortensen on Corporate Strategy and Innovation
In this episode, BYU Tech Transfer Director Dave Brown and Licensing Associate Bennett Mortensen discuss the groundbreaking Generative AI Governance Framework report, co-authored by BYU�s Dr. David Wood and industry experts. They delve into the report�s strategic recommendations for companies navigating AI adoption, covering essential issues like data privacy, employee creativity, and operational efficiency. Dave and Bennett explore the balance between empowering employees with AI tools and addressing ethical, regulatory, and security concerns. This episode is essential for business leaders, tech transfer professionals, and innovators interested in leveraging AI responsibly to gain a competitive edge.