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With technology/AI taking over administrative and repetitive tasks, human roles will shift towards more strategic, creative, ...
With projected growth to US$ 8.91 billion by 2030, the Global Edge AI Software Market represents a significant opportunity ...
Discover how indigenous and innovative solutions are advancing forensic science, enabling efficient workflows.
LLM developers are increasingly turning to synthetic data to speed up development and reduce costs. Researchers behind ...
Objective Annotated clinical samples taken from patients are a foundation of translational medical research and give mechanistic insight into drug trials. Prior research by the Tissue Directory and ...
Increasingly, universities are collecting and analyzing student data for a variety of purposes. At the University of Arizona, for example, a researcher analyzed the swipes of student ID cards at ...
BaseData aims to improve AI models in biology by offering a 10-fold expansion of protein diversity compared to all public databases combined.
Remember 23andMe? The company that gave customers saliva-based DNA testing kits to learn about their ancestry? Founded in 2006, the company also conducted health research and drug development. But ...
We studied an anomaly detection method based on a network traffic model starting with the intrusion detection of abnormal network traffic. The impact of data preprocessing on the detection model was ...
For details and code, please move to data_load_visualization.ipynb, for more examples, to MNE-Python tutorials. Data Processing; Using MNE-Python library with Jupyter Notebook to process demo EEG data ...
An understanding of the underlying mechanisms and the limitations of basic digital signal processing methods is essential for designing more complex algorithms, such as the recent contributions on ...
The feature of multiple data sampling rates is among the most common natures in data-driven industrial process monitoring, which may have a significant impact on its performance, in terms of false ...
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