In a recent analysis, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and collaborator William Gilpin reported that one ...

When every team can use data to make smarter decisions, the playing field is leveled and the door opens to a more innovative, ...

Machine learning models are becoming increasingly important in the prediction of economic crises. The models, however, use datasets comprising a large ... This paper introduces surrogate data models ...

The appropriate forecast for the CSO overflow ML model should be selected based on stakeholder objectives and the desired ...

Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

tech giant reveals Amazon has today announced it is to deploy hundreds of devices across its European fulfilment centres that use machine learning and automation to create "made to fit" cardboard ...

They used machine learning methods that probed down to the molecular level while also retaining quantum-mechanical accuracy of the various interactions. "As the number of material layers increases ...

Since Sunday morning, the water flow has been throttled by almost 90% of the usual volume that passes to Pakistan, according to Muhammad Khalid Idrees Rana, spokesman for Pakistan’s Indus River ...

Machine Learning (ML) represents a subfield of AI devoted to developing decision-making systems trained on sample data. 4 In epidemic prediction, ML can use real-time data to improve understanding ...