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Applied Category Filter (Click To Remove): Artificial Intelligence & Machine Learning


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A Novel Machine Learning Approach for Classification at the Network Edge
TS-073225 — In today's world, we are increasingly using low-cost devices with limited resources (often referred to as "edge devices") which are supported by connected high-performance servers. However, these edge devices often can't handle complex tasks such as classifying data. To make this possible, we need…
  • College: College of Engineering (COE)
  • Inventors: Li, Chengzhang; Eryilmaz, Atilla; Ju, Peizhong; Shroff, Ness
  • Licensing Officer: Giles, David

AI-Enabled Retrosynthesis for Drug Development
TS-060092 — AI methods and systems for predicting reactants and their synthesis paths to support drug design and chemical synthesis.
A time-consuming and costly step in drug development is the identification of drug-like small molecules that display desired properties against a specific biomolecular target and then the synthesis of such molecules if they do not exist. Retrosynthesis is a procedure where such a desired molecule i…
  • College: College of Medicine (COM)
  • Inventors: Ning, Xia; Chen, Ziqi
  • Licensing Officer: Hampton, Andrew

Learning Optimal Empirical Reward iNtelligence (LOERN) with Cyber Maintenance Applications
TS-040341 — A software solution designed to optimize cyber security decision making and reduce maintenance costs.
As the world becomes more and more connected, our systems become more and more vulnerable. If cyber security can become more automated, risk-based decisions can be made more quickly and rationally. Organizations can then leverage this decision-making to improve their security without increasing co…
  • College: College of Engineering (COE)
  • Inventors: Allen, Theodore "Ted"; Hou, Chengjun
  • Licensing Officer: Zinn, Ryan

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