Formal methods are essential in rail control, ensuring safe and reliable signaling and control systems. Mathematical verification minimizes the risk of errors and delays, while enhancing efficiency and reducing maintenance costs. Adopting formal methods in rail control enhances safety, reliability, and compliance. Read more about formal methods here.
Prover is revolutionizing railway signaling with AI-powered design automation, leveraging formal methods and digital twins to enhance safety, efficiency, and modernization in the industry.
Join us to learn more about formal verification, a verification method that uses mathematical proofs to establish that the implemented system fulfills the safety requirements.
Here we will explore how rail control and signaling systems can potentially benefit from AI, with a particular focus on generative AI such as large language models (LLMs).
We cover the new Formal Methods (FMs) Guidebook from the Shift2Rail project. Learn more about when, why, and how you should use FMs in development of rail control systems.
Learn how formal methods can improve the development processes in rail control projects.
We are happy to announce that Prover Certifier has received its CENELEC EN 50128, tool class T2 certification from [...]
Railway signaling systems are surprisingly expensive to produce. Why did this happen?
Formal methods for industrial critical systems 2020
Beginning May 18th, I led a four-day online crash course on HLL for a dozen safety engineers. Due to the [...]
In this, the third and final, blog post on Signal Design Automation we will look at how formal verification [...]
Prover is revolutionizing railway signaling with AI-powered design automation, leveraging formal methods and digital twins to enhance safety, efficiency, and modernization in the industry.
Join us to learn more about formal verification, a verification method that uses mathematical proofs to establish that the implemented system fulfills the safety requirements.
Here we will explore how rail control and signaling systems can potentially benefit from AI, with a particular focus on generative AI such as large language models (LLMs).
We cover the new Formal Methods (FMs) Guidebook from the Shift2Rail project. Learn more about when, why, and how you should use FMs in development of rail control systems.
Learn how formal methods can improve the development processes in rail control projects.
We are happy to announce that Prover Certifier has received its CENELEC EN 50128, tool class T2 certification from [...]
Railway signaling systems are surprisingly expensive to produce. Why did this happen?
Formal methods for industrial critical systems 2020
Beginning May 18th, I led a four-day online crash course on HLL for a dozen safety engineers. Due to the [...]
In this, the third and final, blog post on Signal Design Automation we will look at how formal verification [...]
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In this meeting you’ll find out how digital twins and formal methods can help you achieve your rail control projects in less time and lower costs. And 100% secure system.
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