Carl Data Poland Works with University on Advancing AI Applications

Data Investing

Carl Data Solutions (CSE:CRL) has announced that its subsidiary, Carl Data Poland, will be working with a team of engineering robotics masters students at the Gdansk University of Technology to continue R&D for its wastewater infrastructure monitoring machine learning features. As quoted in the press release: Lead by a PhD with over ten year’s experience …

Carl Data Solutions (CSE:CRL) has announced that its subsidiary, Carl Data Poland, will be working with a team of engineering robotics masters students at the Gdansk University of Technology to continue R&D for its wastewater infrastructure monitoring machine learning features.

As quoted in the press release:

Lead by a PhD with over ten year’s experience coordinating teams researching automated control and decision systems, and robotics, these technology specialists will help Carl Data’s Polish data science centre remain at the forefront of artificial intelligence (AI) applications for this sector.

Tomasz Białaszewski, PhD, has been fascinated with applying advanced robotics and automated control systems to water and wastewater infrastructure since he began his master’s thesis in 1997. By the time he finished his PhD in 2006, he had shifted his focus to applying machine learning (AI) algorithms to gain insight from the data gathered by his mobile robotics systems.

Poland has many problems optimizing its waste water infrastructure,” said Białaszewski. “These issues are associated with huge costs, especially where leaks and overflows occur.”

By working closely with the Carl Data Poland’s data scientists, Białaszewski and his team are helping create a fast, logical machine learning system to address a very complex engineering problem. Carl Data is combining their big data sets acquired from over a dozen years monitoring wastewater infrastructure with data from a specially designed control system, and then using the university’s super computers to build breakthrough precision for its predictive analytic features.

Click here to read the full press release.

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