Modeling complex systems When studying complex biological systems such as the immune system, scientists can extract many different types of data. Sequencing cell genomes tells them which gene variants ...

Integrating proteomics with systems biology reveals complex cellular networks, improving disease mechanisms understanding and precision medicine applications.

The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in research applications to explore potentially high-impact approaches in the development and use of ...

This Collection supports and amplifies research related to SDG 8: Decent Work and Economic Growth, SDG 10: Reduced Inequalities, and SDG 13: Climate Action. The Evolving Landscape of Complex Systems ...

Space missions are complex, multidisciplinary tasks that involve high risk and high cost. Systems engineering (SE) technology ...

Suggested Citation: "ENGINEERING COMPLEX SYSTEMS: Introduction." National Academy of Engineering. 2006. Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2005 Symposium.

New research suggests that modern AI systems, especially large language models, cannot be understood in isolation but must be ...

Microsoft’s data lakes meet the industrial internet of things, helping you create complex models with data from multiple sources. Digital twins are an important part of modern control systems. They ...

OpenAI published a new paper called "Monitoring Monitorability." It offers methods for detecting red flags in a model's reasoning. Those shouldn't be mistaken for silver bullet solutions, though. In ...

CAMBRIDGE, MA -- Over the past two decades, new technologies have helped scientists generate a vast amount of biological data. Large-scale experiments in genomics, transcriptomics, proteomics, and ...