News
Sui Network Suffers Outage as Mainnet Stalls; SUI Price Flat
The Sui network is currently down, even as core developers work to find a fix for the outage. The SUI price is notably trading fla...
As SOL Eyes $176 and Zcash Sees Team Changes, Attention Turns to BlockDAG’s Laun...
As 2026 unfolds, the crypto market continues to reward networks that show resilience, strong governance, and real adoption. Price...
MSTR Stock Rises as Bitcoin Hits New 2026 High; Expert Predicts $455 Target
MSTR stock moved higher today, extending Tuesday’s rally. The rise came as Bitcoin pushed above $97,000 for the first time since N...
Crypto ETF News: Bitwise Launches Chainlink ETF as Institutional Inflows Return
Institutional crypto ETF interest is stabilizing with Bitwise unveiling a new Chainlink exchange-traded fund. The transition incre...
SEO + Storytelling: Write Content That Ranks and Resonates
SEO is about writing so your audience — and search engines — both understand and trust your work.
Optimization Performance on Synthetic Gaussian and Tree Embeddings
Analyze the performance of SDP and Moment-SOS relaxations on synthetic hyperbolic datasets.
Performance Analysis of Optimization Methods on Hyperbolic Embeddings
Compare performance metrics of SDP, Moment-SOS, and PGD algorithms across synthetic and real-world datasets, including CIFAR-10, F...
Breaking: Supreme Court Delays Ruling on Trump Tariffs; May Decide January 16
The U.S. Supreme Court has again failed to rule on the Trump tariffs, further delaying its much-anticipated decision on the case,...
Zero-Knowledge Proof Cycle Is Emerging as Capital Rotates From SOL and DOT
The crypto market just hit $3.1 trillion, with positive momentum building. Solana crypto price has climbed to $140, and the Polkad...
Improving Global Optimization in HSVM and SDP Problems
Learn how Moment-Sum-of-Squares relaxation improves optimization for machine learning models when standard SDP methods fail to fin...
Semidefinite Relaxation for Hyperbolic SVMs: A Polynomial Approach
Hyperbolic SVMs (HSVM) excel at hierarchical data but face non-convex optimization hurdles.
