Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...

IDC predicts spending on AI systems will reach $97.9B in 2023, more than two and one-half times the $37.5B that will be spent in 2019. Senior management teams at enterprises who are Gartner clients ...

Machine learning (ML) is a hot topic when it comes to almost anything related to computing, from analyzing data in the cloud, to self-driving cars recognizing people and things, to detecting defective ...

A new research paper was published in Oncotarget on July 19, 2022, entitled, "Predicting cancer immunotherapy response from gut microbiomes using machine learning models." "In the last decade, the use ...

AI and machine learning have the potential to create an additional $2.6T in value by 2020 in Marketing and Sales, and up to $2T in manufacturing and supply chain planning. Gartner predicts the ...

For patients with early-stage breast cancer, predicting the risk of metastatic relapse is of crucial importance. Existing predictive models rely on agnostic survival analysis statistical tools (eg, ...

A new research paper featured on the cover of Volume 17, Issue 11 of Aging-US was published on October 30, 2025, titled "SAMP ...