US Congress Establishes Federal Stablecoin Framework Mandating Full Reserve Backing
Issuers must now architect compliance systems around the 100% liquid reserve mandate and the definitive prohibition on stablecoin interest payments.
FCA Lifts Four-Year Retail Ban on Crypto Exchange-Traded Notes
The FCA's policy pivot normalizes regulated crypto exposure, compelling UK financial institutions to immediately update suitability and risk disclosure frameworks.
Zero-Knowledge Proof of Training Secures Decentralized Federated Learning Consensus
ZKPoT uses zk-SNARKs to verify decentralized model accuracy without revealing private data, solving the efficiency-privacy trade-off in federated learning.
Crypto Market Rebounds after Record Liquidations and Easing Trade Fears
The crypto market has bounced back strongly, recovering $380 billion after a record $19 billion liquidation event, driven by easing US-China trade tensions.
US Congress Passes GENIUS Act Establishing Federal Stablecoin Regulatory Framework
The landmark GENIUS Act mandates clear reserve requirements and new anti-money laundering controls, fundamentally redefining the operational risk profile for all stablecoin issuers.
Congress Passes GENIUS Act Establishing Federal Stablecoin Regulatory Framework
The new federal stablecoin regime mandates 100% liquid reserves and BSA compliance, structurally redefining payment rails for all issuers.
Zero-Knowledge Proof of Training Secures Decentralized AI Consensus
A new Zero-Knowledge Proof of Training (ZKPoT) consensus mechanism leverages zk-SNARKs to cryptographically verify model performance, eliminating Proof-of-Stake centralization and preserving data privacy in decentralized machine learning.
US Congress Enacts GENIUS Act Establishing Federal Stablecoin Regulatory Framework
The GENIUS Act codifies payment stablecoins as a distinct asset class, mandating 1:1 reserve backing and creating a clear dual federal-state compliance path.
Zero-Knowledge Proof of Training Secures Federated Learning Consensus
ZKPoT uses zk-SNARKs to verify model contributions privately, eliminating the trade-off between decentralized AI privacy and consensus efficiency.
