Data Science News Roundup Each week Spectral explores the intersection of data science, machine learning, AI, and web3.
How Spectral and EZKL are implementing zkML Learn how Spectral has been working with ezkl to implement a zkML for its decentralized machine learning (ML) oracle.
Introducing Challenge #1: Decentralized Credit Scoring in Web3 Announcing our first challenge: build a decentralized credit score for a $100,000 bounty and gain the opportunity to earn 85% share of the revenue collected from the live on-chain consumption of the model.
Spectral’s Vision for Trustless ML with On-Chain Rewards 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.
The Emergence of Data Science in Web3 Spectral’s MACRO Score helped prove a critical mass of blockchain data is available for analysis. Find out how technologies like zero-knowledge machine learning (zkml), verifiable computing, and competitive machine learning are creating new use cases for on-chain data.
The State of Zero-Knowledge Machine Learning (zkML) Zero-Knowledge Machine Learning offers incredible opportunities for addressing some of the basic problems with public blockchains. Here, Spectral examines the state of the art, and talks to Modulus Labs, Jason Morton, Dante Camuto, and Daniel Kang.
Spectral User Research Program Spectral is developing its next tool and needs your help! We're conducting 30-minute product interviews with data scientists, machine learning modelers and other data and web3 experts.