AI and quantum technologies could enhance precision and efficiency in biomanufacturing, but a skills gap first must be ...

Abstract: Predicting financial distress (FD) is essential to financial preparation, especially in the face of growing uncertainty. Small and medium-sized businesses’ intrinsic transparency makes it ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

Here is how you know that GenAI training and GenAI inference are very different computing and networking beasts, and ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

Amazon can steer market-wide prices without ever colluding—exposing a gap in antitrust law that the FTC is now fighting to close.

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 ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

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 ...

Accurate crop yield prediction is vital for ensuring global food security, particularly amid growing environmental challenges such as climate change. Although deep learning (DL) methods have shown ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...