Texas A&M AgriLife scientists have uncovered new insights into how cattle fever ticks survive and spread across South Texas, ...
New experimental techniques are allowing the generation of complex data sets that characterize signal-transduction networks. It is no longer possible to inspect these data by intuition to extract the ...
Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...
Ensuring zero-trust principles and verifying that devices and GPUs are free from side-channel attacks is essential to ...
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An integrated data model for next-generation bridge maintenance
Japan is facing the urgent challenge of aging infrastructure, amidst ineffective linking of on-site experience and expertise ...
A boiling sea of quarks and gluons, including virtual ones—this is how we can imagine the main phase of high-energy proton ...
For the past decade, progress in artificial intelligence has been measured by scale: bigger models, larger datasets, and more ...
A decade in product development taught me that strong products don't come from UI or features. It's the data model underneath ...
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