The framework, named Machine Learning on Blockchain (MLOB), aims to address the limitations of existing ML-BT integration solutions that primarily focus on data security while overlooking ...

In recent years, the fusion of artificial intelligence (AI) with blockchain ... that intensifies when integrating computational power-hungry AI algorithms and machine learning models.

The integration of machine learning and blockchain technology The integration of machine learning and blockchain technology holds great promise for the future. Machine learning algorithms can be ...

BEIJING, Oct. 14, 2024 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ ... today announced a machine learning-based blockchain hybrid consensus algorithm that aims to improve the security ...

Issues related to data privacy, security and the integration of diverse data sources pose significant hurdles. This is where federated learning and blockchain ... on AI and machine learning ...

Another major step forward in today’s announcement is ML Workbench, an option that lets cloud users integrate popular ... Performing machine learning (ML) directly inside the database is ...

Keshava Reddy Depa, an innovator in food safety and e-commerce compliance, is leveraging machine learning (ML ... trust among stakeholders. By integrating blockchain with ML, organizations ...

BEIJING, Nov. 1, 2024 /PRNewswire/ -- WiMi Hologram Cloud ... Federal Learning on Blockchain (FLoBC), aiming to address two core challenges in the current data science field by integrating cutting ...