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High‐Throughput Nanorheology of Living Cells Powered by Supervised Machine Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
Herein, atomic force microscopy (AFM) and machine learning are combined to determine the viscoelastic properties of living cells at the nanoscale. A universal regressor that predicts the viscoelastic properties of mammalian cells from AFM experiments is developed. The regressor predicts the viscoelastic parameters of two cell lines.
Jaime R. Tejedor, Ricardo Garcia
wiley   +1 more source

UP3: Unsupervised Predictive Path Planner for Mobile Robots in Unknown Environment

open access: yesAdvanced Intelligent Systems, EarlyView.
In this article, an unsupervised learning‐based predictive path planning framework UP3 for mobile robots is introduced. The framework employs attention‐based path optimization, control barrier functions, and a deep constraint correction module. UP3 allows the robot to use local observation to generate smooth, safe, and collision‐free path points toward
Jianing Luo   +4 more
wiley   +1 more source

Computing high-degree polynomial gradients in memory. [PDF]

open access: yesNat Commun
Bhattacharya T   +8 more
europepmc   +1 more source

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