Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...

In the past, experts have pointed out that it is possible for personal data to be extracted from LLMs by submitting the right ...

To ensure security, scalability and agility, many organizations are migrating to the cloud to unify data, reduce costs and ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

Special Issue Introduction. The safe and efficient operation of transportation infrastructure (including highways, railways, airports, and port facilities) is crucial for economic ...

JPMorgan Chase and fintech data broker Plaid have renewed a data-access agreement that reshapes how millions of customers ...

Discover how Unsloth and multi-GPU training slash AI model training times while boosting scalability and performance. Learn more on how you ...

A medical artificial intelligence (AI) technique now enables the precise and high-quality reconstruction of MRI images even ...

In the rapidly evolving field of computational intelligence, there is a pressing demand for advanced tools and algorithms ...

Symage, a provider of physics-based, high-fidelity synthetic image data for training AI and computer vision models, will ...

When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational ...