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We can extract CO2 from industrial emissions and use it to produce renewable fuels or high-quality chemicals or store it in, for example, building materials. Which solution fits your CO2 streams best?
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System Dynamics models can help policymakers to analyse, compare and prepare various policy strategies. Read more about it.
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The processing of massive amount of data in a parallel fashion and use of GPU hardware acceleration is essential for any analytic or machine learning algorithm in an AI pipeline.
Safeguarding ethical values when storing and processing data and applying algorithms is crucial to maintain trust in our systems and our organisation.
The power of data is unleashed through the application of machine learning, statistics, predictive analytics, or other AI techniques.
The collection, management and making available of diverse data types requires appropriate, fit-for-purpose data technologies and platforms.
Stimulating and facilitating data-driven research is the mission of the VITO Data Science Hub.
