News
Presentation on Cryptoeconomic Systems for Machine Learning Resource Provisioning at TUM Blockchain Conference
In his presentation, he highlighted how machine learning's rapid growth has transformed our digital lives—from personalized recommendations to AI chatbots—while concentrating crucial resources like data and computing power among a few major tech companies. This concentration has raised important questions about data privacy and digital independence.
The work introduces a promising alternative: decentralized systems that allow individuals and organizations to trade data and computing resources directly, earning fair value while reducing reliance on intermediaries. Blockchain platforms like Ocean Protocol and Akash Network are leading this shift through tokenization and smart incentive design.
