Researchers introduced AdditiveGDL, a generative deep learning method that predicts local thermal distributions across metal ...
A novel multi-task XGBoost model shows robust overall performance in predicting antimicrobial resistance in common gram-negative pathogens.
Abstract: This research examines the utilization of machine learning to proactively forecast cybersecurity problems, hence reducing the likelihood of substantial system interruptions. Utilizing the ...
As humans age beyond early adulthood, their physical and mental functions tend to slowly worsen over time. One of the most ...
An agreement on the third implementation phase of Destination Earth (DestinE), the European Commission’s initiative to ...
Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...
Some of the most popular cryptocurrencies for prediction markets include Bitcoin ( BTC +1.00%), Ethereum ( ETH 2.43%), and ...
Scientists have created an AI model that forecasts moderate heat stress — a major precursor to coral bleaching — at sites ...
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Artificial intelligence allows tracing the evolution of genetic control elements in the developing mammalian cerebellum. An international research team led by biologists from Heidelberg University as ...
Paramount Business Jets reports that advances in aviation tech enhance safety by improving turbulence prediction, situational ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...