Decentralised machine learning (ML) (sometimes just referred to as Decentralised Artificial Intelligence) differs greatly from centralised ML (and other types of machine learning). This article seeks to explain those differences and explore the benefits, use cases and regulatory challenges faced by Decentralised Artificial Intelligence.
31 MAY 2024In this article, Tom Marshall explains the meaning of interoperability in the context of blockchains, existing infrastructure and why and how traditional finance is getting involved.
1 JUL 2022This article outlines a proposed approach to the risks and the protections that are specific to corporate transactions involving tokens or blockchains and proposes warranties designed to protect buyers.
1 APR 2023