Accountable Delegation Secures Proof-of-Stake Liveness and Safety
A new Verifiable Inactivity Proof primitive enforces real-time delegate accountability, fundamentally securing DPoS liveness against non-participation.
Epidemic Consensus Protocol Unlocks Extreme-Scale, Leaderless Blockchain Decentralization
The Blockchain Epidemic Consensus Protocol (BECP) re-engineers distributed agreement using probabilistic message dissemination, enabling extreme-scale, leaderless network security.
J.P. Morgan’s Kinexys Platform Scales to Eight Major MENA Banks
Kinexys Digital Payments leverages DLT to enable real-time, programmable multi-currency clearing, drastically reducing counterparty risk and optimizing regional liquidity management.
Deutsche Bank Tests Canton Network for Interoperable Tokenized Asset Settlement
The bank is leveraging a privacy-enabled DLT network to link siloed systems, enabling real-time, compliant settlement of tokenized assets across jurisdictions.
France Authorizes First Fully Tokenized Equity Exchange under EU DLT Regime
This regulatory approval operationalizes a compliant, on-chain secondary market for tokenized securities, significantly reducing settlement friction and capital lockup across the European Union.
Nine European Banks Form Joint Venture to Launch MiCAR-Compliant Euro Stablecoin
This consortium-led digital currency initiative establishes a regulatory-native settlement layer, drastically reducing cross-border payment friction and unlocking new programmable treasury applications.
JPMorgan Rebrands Onyx Platform to Kinexys, Launches On-Chain Foreign Exchange
The Kinexys rebrand and on-chain FX module integration establishes a 24/7, atomic settlement layer, optimizing capital efficiency and mitigating systemic counterparty risk for institutional clients.
Sharding Consensus Achieves Optimal Cross-Shard Overhead and Security Atomicity
A new sharding consensus pattern achieves provable cross-shard atomicity and optimal intra-shard communication overhead using a jointly managed buffer.
Zero-Knowledge Proof of Training Secures Federated Learning Consensus and Data Privacy
This new consensus mechanism leverages zk-SNARKs to verify decentralized AI model contributions without exposing sensitive training data, solving the privacy-efficiency trade-off.
