News

How Apple Stock Exposes the Limits of the Classic CAPM

This article introduces an asymmetric version of the Capital Asset Pricing Model (CAPM) that differentiates between risks faced by...

A Beginner’s Guide to Automation with n8n

Automation shouldn’t force you to choose between simplicity and flexibility. n8n, an open-source workflow automation platform, bri...

Incremental Learning: Comparing Methods for Catastrophic Forgetting and Model Pr...

This section reviews literature related to Instance-Incremental Learning (IIL), contrasting it with the more explored Class-Increm...

FTX Collapse: SBF Claims Trial Was Biased and Unfair, Appeals FTX Fraud Convicti...

Sam Bankman-Fried, the disgraced founder of collapsed crypto exchange FTX, is taking his case to the 2nd US Circuit Court of Appea...

Unlock $16T RWA Market: BitFrac Makes Bitcoin Mining Accessible Now

Real-world asset (RWA) tokenization is fast becoming one of the biggest stories in blockchain. Industry analysts now foresee the m...

RLUSD and XRP Become The First in The U.S. To Have Stablecoin Margin Via Bitnomi...

Bitnomial Exchange is now officially the first exchange to support stablecoins as margin collateral. The new version brought RLUSD...

The Next Tech War Won’t Be About Chips Alone

The future tech conflict isn’t just about designing faster processors — it’s about control of infrastructure, supply chains, regul...

The HackerNoon Newsletter: 3 Experiments That Reveal the Shocking Inner Life of...

Data Scarcity Solution: S-CycleGAN for CT-to-Ultrasound Translation

This paper defines a new, practical setting for Instance-Incremental Learning, focusing on cost-effective model promotion and resi...

AI Bubble: Big Short Legend Michael Burry Bets Against AI Giants As NVIDIA And P...

Michael Burry has made a huge bet against the current boom experienced by artificial intelligence stocks. The famous investor who...

Twin‑Tower Neural Architecture for Δ‑Estimation in Differential Financial Models

Neural networks act as adaptive parametric bases, improving hedging accuracy and reducing relative PnL variance versus classical m...

Mathematics of Differential Machine Learning in Derivative Pricing and Hedging:...

Drawing from Barron, Hornik, and Telgarsky, it proves neural networks yield superior efficiency in higher‑dimensional pricing task...