AI was to be a miracle for businesses & consumers alike. AI implementations that were supposed to transform business ...
Data sprawl has forced organizations to invest in more data security resources, and is drastically inflating data backup ...
Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data
DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...
A structured data ownership model—rooted in ICH GCP principles, supported by MHRA and FDA interpretations, and documented in validated system specifications—will enable sponsors to maintain compliance ...
The study identifies Geographic Information Systems as the foundational layer of modern digital waste management. Waste ...
A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...
Cyber resilience comes of age when it becomes a practiced capability—where governance, operations, technology, and people ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
Artificial intelligence brings to classification a scalable, accurate alternative. Using natural language processing and ...
Here are some memorable examples of when that process paid off this year: when a few numbers, the shape of a line, or the ...
AI system predicts risk for 130 diseases from one night's sleep with up to 85% accuracy. Sleep patterns show hidden health ...
A conservation group reveals 31.8% of the Aravalli Range is at ecological risk, demanding a ban on mining activities.
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