# of Displayed Technologies: 3 / 3

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


Fast and Efficient Cross Band Wireless Channel Prediction Using Machine Learning
TS-047296 — A neural network that utilizes a simple and efficient single antenna optimization framework
Systems that use different frequency bands for uplink and downlink communication often need feedback between the clients to exchange band-specific channel information. The current state-of-the-art approach predicts the downlink channel based on the uplink channel by identifying certain variables u…
  • College: College of Engineering (COE)
  • Inventors: Srinivasan, Kannan; Bakshi, Arjun; Parthasarathy, Srinivasan
  • Licensing Officer: Hong, Dongsung

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

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