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 ...

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 ...

Understanding the difference between deterministic and non-deterministic systems is key to thriving in this new world of AI.

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 ...

KIT researchers want to develop an AI world model that combines global climate, weather, and environmental models. (Symbolic image: NicoElNino ...

Understanding how matter reorganizes as its density increases is a central question in particle and condensed-matter physics. Yet in quantum systems governed by strong interactions, finding analytical ...

This is a preview. Log in through your library . Abstract Motivated by examples from genetic association studies, this article considers the model selection problem in a general complex linear model ...

On the path to carbon neutrality, more than 40 countries and the European Union – representing over 70 per cent of global CO2 emissions – have committed to net zero objectives, most of them by 2050.

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 ...

Training and simulation services division plays increasing part in support of parent company's defence bids Modelling of weapon-system performance is becoming an increasingly important role for Thales ...