QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Abstract: Machine learning has been successfully applied to drug combination prediction in recent years. However, in some situations, the class imbalance problem still shows highly negative impacts on ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

Abstract: Because of their transparency, interpretability, and efficiency in classification tasks, decision tree algorithms are the foundation of many Business Intelligence (BI) and Analytics ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...

Patrick Mahomes tore his ACL during the Chiefs' loss to the Chargers. The Chiefs face a $43.8 million salary cap deficit for 2026. Decisions loom on Mahomes’ contract and Travis Kelce’s uncertain ...

The NBA's trade season is officially upon us, as December 15th marked the date when most players who signed contracts over the season became trade eligible. Teams are also more aware of where they ...

President Donald Trump raised antitrust concerns over the proposed Netflix takeover of Warner Bros. Discovery on Sunday, warning that the combined market share could be a problem. Netflix on Friday ...

President Donald Trump said Netflix's proposed acquisition of key pieces of Warner Bros. Discovery "could be a problem." "I'll be involved in that decision too," Trump said days after Netflix agreed ...