Search Results - johannes+lee

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Method of Proficient Typing Using a Limited Number of Classes (Case No. 2024-063)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel software algorithm to rapidly predict text using small keyboards for various applications, including mobile computing, gaming, and human-computer interactions. Background: Advancements in mobile computing have drastically changed everyday life...

Published: 11/6/2024 | Inventor(s): Jonathan Kao, Shreyas Kaasyap, John Zhou, Johannes Lee, Nima Hadidi

Keywords(s): Advanced Computing / AI, advanced computing methods, all-optical diffractive computing, Artificial Neural Network, Artificial Neural Network Artificial Neuron, assistive communication, background radiation, Bandwidth (Computing), Brain computer interface, brain machine interface, Classroom management software, Cloud Computing, composite scintillators, Database management/data entry, deep physical neural network, design software, edge computing, fast scintillators, gamma spectroscopy, graph neural network, HCI (Human Computer Interaction), high-Z organometallics, Human/Brain computer interfaces (BCI/HCI), human-centered computing, material characterization, Medical science computing, mobile computing, modular robotic system, nanocomposite scintillators, neural network, neural networks, neutrino detection, Optical computing, positron emission tomography (PET), predictive text, primary school software, radiation detection, recurrent neural networks, Robotics, robotics control, scintillators, second harmonic generation, secondary school software, self-sustaining computing, soft robotics, Software, Software & Algorithms, Software Development Tools, Software-enabled learning, Spatial computing, Stochastic Computing (SC), T6 keyboard, T9 keyboard, visual computing, wafer-scale computing

Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Communication & Networking

AI Copilot: Enhancing Brain-Machine Interface Performance (UCLA Case No. 2023-110)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an artificial intelligence (AI) assistance framework for brain-machine interface (BMI) applications designed to enhance users' ability to complete tasks efficiently and swiftly. Background: Paralysis affects over 5 million individuals in the U.S.,...

Published: 7/30/2024 | Inventor(s): Jonathan Kao, Brandon McMahan, Sangjoon Lee, Johannes Lee

Keywords(s): actor-critic networks, AI copilot, Artificial Intelligence, Artificial Neural Network, Brain-Computer Interface, brain-machine interface (BMI), deep reinforcement learning, integrated robotics, neural effort, neural information, neural signals, non-invasive BMI, Orthopedics and Prosthetics (O & P), Prosthesis, Prosthetics, Robotics

Category(s): Medical Devices, Medical Devices > Prosthetics, Mechanical, Mechanical > Robotics, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Electrical > Electronics & Semiconductors