# of Displayed Technologies: 5 / 5

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


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Point Prognostics: Closed Loop Particle Forecasting Platform for Decision Support and System Prognostics
TS-049903 — A scalable, adaptive computational platform (software) that performs accurate, predictive computer simulations in less time, with the end goal of supporting a decision-making agency
A report by IOT Analytics evaluated the predictive maintenance (PdM) market at $1.5 billion in 2016 and anticipated a growth of 39% annually to $10.96 billion by 2022. Particle methods (broadly known as "Monte Carlo'' methods, or, MC) are a class of computational algorithms used in Pd…
  • College: College of Engineering (COE)
  • Inventors: Kumar, Mrinal "Mrinal"; Yang, Chao "Chao"
  • Licensing Officer: Zinn, Ryan

Point Prognostics: Closed Loop Particle Forecasting Platform for Decision Support and System Prognostics
TS-049903 — A scalable, adaptive computational platform (software) that performs accurate, predictive computer simulations in less time, with the end goal of supporting a decision-making agency
A report by IOT Analytics evaluated the predictive maintenance (PdM) market at $1.5 billion in 2016 and anticipated a growth of 39% annually to $10.96 billion by 2022. Particle methods (broadly known as "Monte Carlo'' methods, or, MC) are a class of computational algorithms used in Pd…
  • College: College of Engineering (COE)
  • Inventors: Kumar, Mrinal "Mrinal"; Yang, Chao "Chao"
  • Licensing Officer: Zinn, Ryan

Kernel-based machine learning methods that adapt to GPU.
TS-042832 — A method for optimally adapting a class of kernel-based machine learning methods to parallel architectures including those of GPU hardware.
Most modern machine learning methods utilize GPU hardware to speed up processing large datasets. Modern GPU's implement parallel architectures which allow for very fast computations of certain mathematical operations. GPU-based architectures are widely used in the industry for a range of Artif…
  • College: College of Arts & Sciences
  • Inventors: Belkin, Mikhail; Ma, Siyuan
  • Licensing Officer: Hong, Dongsung

Closed Loop Particle Forecasting Platform for Decision Support and System Prognostics.
TS-042531 — A computational platform for forecasting the state of evolving systems and processes.
Particle methods are a class of computational algorithms used to estimate potential outcomes of a system or process. Although popular for their simplicity and scalability, the use of fixed sized "particle ensembles" renders the simulations unable to provide performance guarantees in quan…
  • College: College of Engineering (COE)
  • Inventors: Kumar, Mrinal "Mrinal"; Yang, Chao "Chao"
  • Licensing Officer: Zinn, Ryan

Closed Loop Particle Forecasting Platform for Decision Support and System Prognostics.
TS-042531 — A computational platform for forecasting the state of evolving systems and processes.
Particle methods are a class of computational algorithms used to estimate potential outcomes of a system or process. Although popular for their simplicity and scalability, the use of fixed sized "particle ensembles" renders the simulations unable to provide performance guarantees in quan…
  • College: College of Engineering (COE)
  • Inventors: Kumar, Mrinal "Mrinal"; Yang, Chao "Chao"
  • Licensing Officer: Zinn, Ryan

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