Photonics is promising to handle extensive vector multiplications in AI applications. Scientists in China have promoted a programmable and reconfigurable photonic linear vector machine named SUANPAN, ...
Abstract: The widespread adoption of deep-learning models in data-driven applications has drawn attention to the potential risks associated with biased datasets and models. Neglected or hidden biases ...
The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...
US mortgage applications to buy a home surged last week to the highest level since early 2023, despite still-elevated borrowing costs. The Mortgage Bankers Association’s index of home-purchase ...
Introduction: Resting-state electroencephalogram (EEG) presents a promising biometric modality due to its inherent liveness detection and resistance to spoofing, addressing critical vulnerabilities in ...
A web application leveraging TensorFlow, Keras, and Streamlit to assist farmers and researchers in identifying plant diseases from leaf images. Users can upload crop images to receive accurate disease ...
We should add a linear classifier (logistic regression style) as an alternative to the current MLP in patient-level modeling. Same input format and preprocessing as MLP (patient feature vectors).
A straight line movement delivered with exact control brings a new level of accuracy to factory work and machine tasks. Machines that shift heavy parts from one spot ...
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