University of Alicante and Qsimov Announce Collaboration

The University of Alicante (UA) and Qsimov, a pioneer provider of efficient, sustainable and transparent artificial intelligence (AI) technology, today announced a collaboration to provide UA researchers access to Qsimov's AI technology. This collaboration will enable UA researchers to use Qsimov's new AI system named GLAI to conduct research on federated learning applications.

Federated learning is a machine learning technique that allows multiple devices to jointly train a shared model without sharing their data. This makes it possible to train models on large amounts of data without compromising user privacy and/or data confidentiality, also saving on communication expenses.

One of the key features that sets GLAI apart from other AI systems is its ability to rapidly combine different copies of a model. This feature has a number of applications, including:

• Incremental Retraining: GLAI can be incrementally retrained on new data only, that is, without having to process the entire dataset again. This can save a significant amount of time and resources.
• Federated (Re)training: GLAI can be used for federated learning, which allows multiple devices to train a shared model without sharing their data. This can be used to train models on large amounts of data without compromising user privacy and/or data confidentiality.

The collaboration between UA and Qsimov will provide UA researchers with access to Qsimov's AI technology and expertise. This will enable UA researchers to conduct groundbreaking research on federated learning applications.

“It is a great opportunity for us to collaborate with this high-tech company to work with the most advanced AI architectures," said Dr. Higinio Mora, senior researcher at UA. "This collaboration will enable our researchers to conduct cutting-edge research on federated learning applications, which has the potential to revolutionize the way we train AI models." said Dr. Jose García, senior researcher at UA.

The collaboration between UA and Qsimov is expected to lead to new breakthroughs in federated learning. This research could have a major impact on a variety of industries, including healthcare, finance, and manufacturing.

"We are pleased to partner with the University of Alicante to support their research on federated learning applications," said Dr. José Duato, CTO of Qsimov.