NeMO-Net is a new single-player video game that gives people the ability to help NASA classify coral reefs by painting 3D and 2D images of coral. In the game, player are challenged to "level up in the food chain" with their explorations and classifications across the world.
Data collected from the game goes towards the first neural multi-modal observation and training network for global coral reef assessment, and NASA's Pleiades supercomputer is used for further classification and assessment of coral reef health around the globe. According to NASA, "NeMO-Net’s neural network is able to discern complex living organisms such as coral reefs from remotely sensed imagery with high accuracy. This idea may soon be extended to the search for life elsewhere in the universe in the future."
What Makes This Trend Stand Out
- Neurogaming
- The development of NeMO-Net showcases the potential for harnessing the power of gaming for scientific research and data collection.
- Crowdsourced Classification
- NeMO-Net highlights the increasing trend of using crowdsourcing to collect and categorize large amounts of data for scientific purposes.
- Artificial Intelligence (AI) Assisted
- The use of AI technology in NeMO-Net demonstrates the role of machine learning algorithms in enhancing the accuracy and efficiency of data analysis and classification.
Sectors Adopting This
- Gaming
- The rise of neurogaming opens up new opportunities for game developers to create immersive experiences that contribute to scientific research and data collection.
- Citizen Science
- The success of NeMO-Net highlights the potential for citizen science initiatives to engage the public in meaningful scientific research that can have global implications.
- Environmental Conservation
- The use of AI-assisted data analysis in NeMO-Net presents disruptive innovation opportunities for the field of environmental conservation, enabling more efficient monitoring and assessment of coral reefs and other ecosystems.
