Computer scientists have developed an intelligent undersampling framework that combines density-aware boundary selection with ...

Researchers demonstrated that machine-learning classifiers analyzing radiomic features from noncontrast postmortem computed ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Millions of dollars are being spent to develop artificial intelligence software that reads x-rays and other medical scans in hopes it can spot things doctors look for but sometimes miss, such as lung ...

Machine learning bias, also known as algorithm bias or AI bias, is a phenomenon that occurs when an algorithm produces results that are systemically prejudiced due to erroneous assumptions in the ...

Researchers have shown that an algorithm with no training in materials science can scan the text of millions of papers and uncover new scientific knowledge. They collected 3.3 million abstracts of ...

Machine-learning as a technology is, without doubt, the force that will be shaping our digital world for years and years to come, making it smarter and more autonomous, and sometimes taking our breath ...