Our study found that people are now able to distinguish between AI-generated and human-authored content only 51% of the time.
For the first time, lab-grown mini brains have revealed how neurons misfire in schizophrenia and bipolar disorder.
Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
In cybersecurity, the most effective professionals will treat AI as a tool to enhance their thinking, not replace it.
Scientists have developed and tested a deep-learning model that could support clinicians by providing accurate results and clear, explainable insights – including a model-estimated probability score ...
Abstract: UX design shapes the interaction with a digital platform. Most practices., while attempting to increase user satisfaction., can actually deceive users using so-called dark patterns in order ...
Background: Rapid urbanization in China has significantly reshaped the human settlement environment (HSE), bringing opportunities and challenges for public health. While existing studies have explored ...
An Interpretable Ensemble Fuzzy Classifier for Smartphone Sensor-Based Human Activity Classification
Abstract: Smartphone sensor-based human activity recognition (SSHAR) generally deals with three main steps: 1) raw signal collection; 2) feature extraction; and 3) human activity classification. This ...
Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...
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