New AI boosts corn disease detection on phones & drones. Researchers streamlined a complex system, improving accuracy to ...
Design thinking has traditionally followed linear cause-and-effect principles – from the Bauhaus school’s “form follows ...
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Optical system uses diffractive processors to achieve large-scale nonlinear computation
Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials.
A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...
UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear materials. They realized arbitrary sets of bandlimited nonlinear functions, ...
This valuable study uses mathematical modeling and analysis to address the question of how neural circuits generate distinct low-dimensional, sequential neural dynamics that can change on fast, ...
This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...
The crosstalk between steroid nuclear receptors in ER positive breast cancer largely impinges on disease progression to ...
Recovering from an injury is a delicate process that requires a thoughtful approach, especially when transitioning back to ...
A soft microrobot uses light driven motion, temperature sensing, and localized heating to control single cells inside 3D ...
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