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Neurosymbolic quality monitoring for sustainable manufacturing

Neurosymbolic quality monitoring for sustainable manufacturing

by gianquinto | Jul 31, 2024 | Blog, Last news, News, Uncategorized

Graph Massivizer will be a big step towards harmonizing neural and symbolic AI methods, a revolutionary approach to quality estimation in welding processes, and a profound leap towards realizing a genuinely sustainable automotive industry. In the fast-paced world of...
Exploring Future Opportunities: Master Research Topics with SINTEF!

Exploring Future Opportunities: Master Research Topics with SINTEF!

by nleza | Oct 11, 2023 | News

📢 Exploring Future Opportunities: Master Research Topics with SINTEF! 🎓 An interesting opportunity for aspiring students in the field of data processing and advanced technologies has been published by Graph-Massivizer partner, SINTEF which issued three MSc research...
Unveiling The Future: How Event Registry Utilizes Graph-Massivizer to Fuel UN Sustainable Development Goals

Unveiling The Future: How Event Registry Utilizes Graph-Massivizer to Fuel UN Sustainable Development Goals

by nleza | Oct 11, 2023 | Blog, Last news

EVENTREGISTRY Unveiling The Future: How Event Registry Utilizes Graph-Massivizer to Fuel UN Sustainable Development Goals  The Pioneering Spirit of Graph-Massivizer Project In a world drowning in data, the need for advanced processing capabilities has never been more...
Why Current Financial Historic Data is Neither Enough nor Truly Useful for Testing Financial Trading and Investment Models in the AI Era (part 2)

Why Current Financial Historic Data is Neither Enough nor Truly Useful for Testing Financial Trading and Investment Models in the AI Era (part 2)

by nleza | Sep 1, 2023 | Blog, Last news

Why Current Financial Historic Data is Neither Enough nor Truly Useful for Testing Financial Trading and Investment Models in the AI Era (part 2) The preceding blog (part 1) highlighted the challenges posed by historical data, encompassing limitations related to data...
Why Current Financial Historic Data is Neither Enough nor Truly Useful for Testing Financial Trading and Investment Models in the AI Era (part 1)

Why Current Financial Historic Data is Neither Enough nor Truly Useful for Testing Financial Trading and Investment Models in the AI Era (part 1)

by nleza | Jun 8, 2023 | Blog

Why Current Financial Historic Data is Neither Enough nor Truly Useful for Testing Financial Trading and Investment Models in the AI Era (part 1) Artificial intelligence (AI) has revolutionized the field of financial trading and investment. AI models can analyze...
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This project has received funding from the European Union’s Horizon Research and Innovation Actions under Grant Agreement Nº 101093202.