A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
A shortage of qualified AI engineers and other talent as well as escalating corporate reliance on AI strategy are pushing AI ...
Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic frameworks, or MOFs.MOFs are an ...
Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...
For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and ...
If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...
With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...
The companies that survive will look less like pyramids and more like swarms: small, autonomous AI-first pods that move and ...
Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
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