-
Advancing the state of the art in measurements of sound, vibration, force, acceleration and velocity
; Machine Learning; Artificial Intelligence; AI; PINN; Sensor Networks; Sensor Fusion; Optomechanics; Interferometry; Frequency Comb; Photonics; Acoustics; Sound; Sensing; Optics; Bayesian; Statistics; Signal
-
learning with machine-controlled measurement tools for closed loop experiment design, execution, and analysis, where experiment design is guided by active learning, Bayesian optimization, and similar methods
-
diagnostic processes. Additional projects may include creating large brain/head virtual data sets using simple growth algorithms to mimic brain tissue as well as various lesions. Bloch solvers with built in
-
3180 Description Bio-inspired and neuromorphic computing takes inspiration from the brain to find new ways to address computational problems. This project aims to develop hardware based neuromorphic
-
guiding materials measurement experiments to acclerate learning the synthesis-process-structure-property relationship. Machine learning methods include, but are not limited to, Bayesian inference
-
characterization tools for closed loop experiment design, execution, and analysis, where experiment design is guided by active learning, Bayesian optimization, and similar methods. A key challenge is the integration
-
(phospholipids), which constitute the cell membrane. Human tissues vary in their proportion of lipids, with fat tissue containing primarily storage lipids and the brain containing relatively more membrane lipids