There has been growing interest in the adoption of complex systems approaches to tackle major public health challenges such as obesity. This perspective redirects focus from individually oriented and ...

Scientists have made a significant advancement with quantum technologies that could transform complex systems modelling with an accurate and effective approach that requires significantly reduced ...

Model-based systems engineering is widely used when designing complex systems, but the question remains of when is it right for your project or system. Model-based system engineering is widely used by ...

Strategic Technology Consulting (STC), a wholly owned subsidiary of Arcfield, announced today that it has received the Lt.

Researchers used large language models to efficiently detect anomalies in time-series data, without the need for costly and cumbersome training steps. This method could someday help alert technicians ...

So, in preparation for the hurricane season along with more cases of Covid-19, state and local governments need to be empowered to put a disaster recovery plan in place. Companies like Atkins, a ...

Model-based systems engineering is quietly, but consistently, becoming an important part of the design, maintenance, and cybersecurity of the federal government’s most complex IT platforms. MBSE ...

Motivated by examples from genetic association studies, this article considers the model selection problem in a general complex linear model system and in a Bayesian framework. We discuss formulating ...

The simulation of strongly interacting many-body systems is a key objective of quantum physics research, as it can help to ...

Chinese researchers used the Oceanlite supercomputer and a custom NNQS model to simulate molecular systems with 120 spin ...