Bridging the gap between machine learning and web3 through verifiable, trustless inference feeds that can be streamed directly into smart contracts.
Introducing Spectral's vision for a trustless machine learning (ML) oracle. Using zero-knowledge machine learning and other Web3 technologies allows us to move past the traditional limitations of competitive machine learning platforms.
Considering systematic risk in decentralized finance and the protocols, dApps working to counter them, and how predictive risk forecasting and artificial intelligence could usher in the blockchain's true potential.
One theme that may come as a surprise is the close connection between financial inclusion and credit assessment. DeFi offers an unprecedented opportunity to further expand access and accessibility to credit by developing risk assessment infrastructure.
Written in collaboration with Raymond Anderson Before 2010, credit risk assessment methodologies had been relatively stable for many years. Of late, however, gains in computing and data storage and processing efficiencies have accelerated and changed the landscape on two fronts. First, the depth and breadth of available data (“big data”