Optimization and statistics are everywhere, touching all engineering disciplines in an ever more sophisticated way. Nowhere are they more important than in the rapidly evolving field of machine ...

In an era where social media platforms are the driving force behind data generation, optimizing the data ingestion process ...

As quantum-inspired methods enter the AI arena, companies like Dynex are developing alternatives to mainstream LLMs. What does quantum computing mean for the future of AI?

For their technique, which they call learning-guided rolling horizon optimization ... and used these as training data. Once trained, the machine-learning model receives a new subproblem it ...

The powerful chemotherapy drug cisplatin has been used since the late 1970s to treat a variety of cancers. It's highly ...

AI and Machine Learning integration is revolutionizing data science workflows through AutoML advancements, enabling ...

As artificial intelligence and machine learning become more ... pandemic by the federal government to model the COVID-19 pandemic’s trajectory. In the 1990s, Nocedal also began developing another ...

Artificial intelligence models, pretrained on vast datasets, significantly outperformed a standard baseline model in ...

An international team of researchers has developed a new method for parameterizing machine-learning interatomic potentials ... In fact, magnetic force training helps to obtain a reliable model even ...