The convergence of AI and web3 has created an extraordinary number of use cases. We explore DeFi, NFT recommendation engines, Solidity LLMs, DAOs, DeSoc, and, security including auditing and fraud detection.
Spectral's 2024 Roadmap charts a course for a thriving Inference Economy.
Insight Prediction's Douglas Campbell spoke to Spectral about creating models, providing liquidity to betting platforms, and the regulatory issues with prediction markets.
Spectral is launching v0.1.0 of our Machine Intelligence Network for verified ML inference feeds.
Bridging the gap between machine learning and web3 through verifiable, trustless inference feeds that can be streamed directly into smart contracts.
Each week Spectral explores the intersection of data science, machine learning, AI, and web3.
Learn how Spectral has been working with ezkl to implement a zkML for its decentralized machine learning (ML) oracle.
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.
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.
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.
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 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.
The first MACRO Score Capital Efficiency simulation, looking at Aave V2 Ethereum borrowers. High MACRO Score users had lower liquidation rates, repaid more often, and had healthier accounts.
Lending platform Teller will begin incorporating Spectral MACRO Scores into their creditworthiness assessment.