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Machine Learning

If you're interested in the role machine learning will play in developing computational software, Professor Rob van Nieuwpoort's group at LIACS in Leiden is a good starting point. They're working on generating efficient code for specialized hardware and developing foundation models for technical applications. In this interview, Professor Van Nieuwpoort discusses his group's research.

Although there are still plenty of doubts about the real impact of AI, there is one sector where its effect can no longer be denied: software development. VORtech quickly started working with the new AI possibilities. But not without the necessary safeguards because there are indeed risks.

The launch of ChatGPT made the world aware that Machine Learning will fundamentally change the way we live and work. The field of computing and simulation will be no exception. But it’s not just ChatGPT: there are other innovations from machine learning that are bringing exciting changes for computing. In this blog, we’ll explore the potential of this new technology.

How can machine learning be used to optimize production processes with data from machines? And how to approach this? This whitepaper offers a step-by-step plan.

The FailurePredictor is a concept to make electricity grids more robust and reliable using a combination of expert experience and machine learning.

In recent years, we were fortunate to work on many different data-science projects for our customers. But from experience I know that the most important success factor of such a pilot project is not in using the most advanced algorithm, but instead, how the project is designed.

Current advances in data science open up a lot of new opportunities to leverage data. Companies learn to leverage their data to improve business processes and products. When implementing new data science projects, unexpected problems may appear.

On Thursday February 23, 2017, VORtech hosted our first Meetup on Data Science: "Data Science in Industry"

What if you are, say, an engineering company with loads of experience in building complex installations but without any data science background. Where do you start?

Data analytics for is a powerful tool for utilities to predict future demand and improve business-to-customer communication.