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Data is the new gold

Artificial Intelligence, Machine Learning & Deep Learning, in Life Below Water.

Life Below Water
Our domain of interest is Life Below Water, the Sustainable Development Goal 14 (SDG14) of the United Nations.

Conserve and sustainably use the oceans, seas, and marine resources for sustainable development. Healthy oceans and seas are essential to our existence. They cover 70 percent of our planet, and we rely on them for food, energy, and water. Yet, we have managed to do tremendous damage to these precious resources.

We must protect them by eliminating pollution and overfishing and immediately start to responsibly manage and protect all marine life around
the world.

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MatureDevelopment focuses on target 14.7 and target 14.8

Target 14.7
By 2030, increase the economic benefits to small island developing States and least developed countries from the sustainable use of marine resources, including through sustainable management of fisheries, aquaculture, and tourism.


Target 14.8
Increase scientific knowledge, develop research capacity, and transfer marine technology, taking into account the Intergovernmental Oceanographic Commission Criteria and Guidelines on the Transfer of Marine Technology, in order to improve ocean health and to enhance the contribution of marine biodiversity to the development of developing countries, in particular, small island developing States and least developed countries.

Artificial Intelligence in Life Below Water

Artificial intelligence (AI) refers to the ability of a computer system to perform tasks that require human intelligence, like learning, understanding, reasoning, problem-solving, and understanding graphs and pictures. AI aims to create systems that operate autonomously, learn, get more precise, and make decisions in a way similar to human intelligence.


Machine learning is a subset of AI. We humans learn through experience. In machine learning, computer systems train themselves from large amounts of data. They analyze that data, look for patterns, and make their own decisions or predictions based on that. All this with step-by-step minimal human intervention. And we humans are already using machine learning without even realizing it. Is your telephone listening and asking questions, providing answers? Is your Apple Watch with SIRI interfering in a conversation, even telling you what you said isn't correct? Is the spam also automatically filtered out of your emails? Right, it’s done through machine learning.


Deep learning is a form of machine learning that uses deep neural networks. These networks can trace very complex patterns in large datasets. Compare it to the neural structures of the human brain. Deep learning is particularly effective for tasks that involve large amounts of complex data, for instance, image classification, image generation, facial recognition, speech recognition, and others. Recently, it has become popular to generate images with AI and use different chatbots that answer your questions. Those cases are practical applications of deep learning.

André Sobiecki

Dr André Sobiecki is a highly skilled professional in computer vision, image processing, pattern recognition, and machine learning. He is academically educated in Brazil, with a bachelor’s degree in Information Technology and a master’s in Artificial Intelligence. He earned his Ph.D. in Computer Vision and Computer Science at the University of Groningen in the Netherlands. He worked as a Postdoctoral Research Fellow in medical image data analysis using deep learning at the University of Michigan in the USA. He worked on the development of image data analysis using deep learning. His expertise within the ‘Life Below Water’ domain is applied research and innovative development of computer vision tools, image processing, image analysis, – restoration, pattern recognition, machine, and deep learning.

Paul Robert van der Heijden

Academically educated with degrees in biology and biochemistry in the nineteen seventies, he researched cell biology and communication between organisms. He was invited to become a manager at a large company and became head of the organizational department. He switched to an independent management consultant and interim manager in the eighties. Did his executive MBA at a consortium of Wharton USA and INSEAD France. Invited to provide a keynote speech at the International Water Forum in the Netherlands together with the crown prince and President of the United Nations Environment Program UNEP, he met several diplomats, which led to the invitations to provide related research and development at first in water and later food security domain. He established  MatureDevelopment in 2000 and works with private and public companies and universities globally. As a volunteer, he is strongly involved as Global Ambassador Aquaculture without Frontiers. His leadership style is strongly influenced by the UN Report * of the World Commission on Environment and Development: ‘Our Common Future’. In other words, providing the opportunities for the younger generations. 

Art Vasiliuk

Art Vasiliuk is a results-oriented Researcher and Software Engineer with 5 years of international professional experience in architecting, automating, and optimizing critical development processes across large infrastructures as well as co-leading a team of five engineers. His leadership style is a modern professional style where acceptance of innovation and trust in the human factor and human added value is significant.He graduated from Wroclaw University of Science and Technology in Poland with a degree in Computer Science. Art is motivated by the desire to make the impossible possible and applies this in the UN Sustainable Development domain Life Below Water, SDG 14, where MatureDevelopment is developing the Artificial Intelligence system for identifying deep sea creatures

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