The prediction of the rate of penetration (ROP) in drilling engineering is a linchpin for optimising operational efficiency and reducing costs. Recent advances in machine learning have prompted the ...
SAN MATEO, Calif., Feb. 27, 2024 (GLOBE NEWSWIRE) -- Cloudian today announced the release of a new open-source software contribution that integrates PyTorch, the popular machine learning (ML) library, ...
Snowflake Inc. is leading off its Snowflake Summit 2025 user conference in San Francisco today by unveiling a series of new artificial intelligence capabilities intended to simplify the ways users ...
Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...
The field of kidney transplantation is increasingly incorporating machine learning (ML) strategies to enhance the accuracy of ...
Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
A new study warns that hackers could manipulate AI weather-prediction models to generate false hurricane alerts, raising ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback