Predicts velocity and pressure fields for various Reynolds numbers. Integrates CAE for dimensionality reduction and reconstruction. Uses LSTM to capture temporal dynamics for short-term predictions.

Abstract: Cancer remains one of the most challenging diseases to treat in the medical field. Machine learning (ML) has enabled in-depth analysis of complex patterns from large, diverse datasets, ...

Learn how insider trading occurs in crypto and the advanced forensic, legal, and exchange-level tools used to detect and ...

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

Numerai, a San Francisco–based hedge fund and data science tournament uniting machine learning, decentralized finance, and ...

To identify and evaluate candidate materials, process engineers must analyze an enormous amount of data. Bulk properties like ...

The massive swarm of earthquakes that rattled the Greek islands of Santorini and Amorgos in 2025 was not caused by a slipping fault – it was triggered by pulses of magma tunneling far below the ...

By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been ...

Regionally, North America, Asia-Pacific, and Europe remain the strongest markets for horizontal flow wrapping machines. The ...