Tech

The Next Tech War Won’t Be About Chips Alone

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Welcome to 3 Tech Polls, HackerNoon’s brand-new Weekly Newsletter that curates Results from our Poll of the Week, and related polls around the web. Thanks for voting and helping us shape these important conversations! AI runs everything now — but who runs AI? That’s the question we put to readers last week in our front-page poll: Which … Read more

The HackerNoon Newsletter: 3 Experiments That Reveal the Shocking Inner Life of AI Introduction: Is Anybody Home? (11/4/2025)

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How are you, hacker? 🪐 What’s happening in tech today, November 4, 2025? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, The first car-free Sunday happened in Netherlands in 1973, Barack Obama was elected as America’s first Black President in 2008, The tomb of Tutankhamen was discovered in the … Read more

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

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Table of Links Abstract and 1 Introduction Related works Problem setting Methodology 4.1. Decision boundary-aware distillation 4.2. Knowledge consolidation Experimental results and 5.1. Experiment Setup 5.2. Comparison with SOTA methods 5.3. Ablation study Conclusion and future work and References Supplementary Material Details of the theoretical analysis on KCEMA mechanism in IIL Algorithm overview Dataset details … Read more

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

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Table of Links Abstract Keywords and 2. Introduction Set up From Classical Results into Differential Machine Learning 4.1 Risk Neutral Valuation Approach 4.2 Differential Machine learning: building the loss function Example: Digital Options Choice of Basis 6.1 Limitations of the Fixed-basis 6.2 Parametric Basis: Neural Networks Simulation-European Call Option 7.1 Black-Scholes 7.2 Hedging Experiment 7.3 … Read more

Mathematics of Differential Machine Learning in Derivative Pricing and Hedging: Choice of Basis

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Table of Links Abstract Keywords and 2. Introduction Set up From Classical Results into Differential Machine Learning 4.1 Risk Neutral Valuation Approach 4.2 Differential Machine learning: building the loss function Example: Digital Options Choice of Basis 6.1 Limitations of the Fixed-basis 6.2 Parametric Basis: Neural Networks Simulation-European Call Option 7.1 Black-Scholes 7.2 Hedging Experiment 7.3 … Read more

Constructing Loss Functions for Differential Machine Learning in Derivative Pricing

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Table of Links Abstract Keywords and 2. Introduction Set up From Classical Results into Differential Machine Learning 4.1 Risk Neutral Valuation Approach 4.2 Differential Machine learning: building the loss function Example: Digital Options Choice of Basis 6.1 Limitations of the Fixed-basis 6.2 Parametric Basis: Neural Networks Simulation-European Call Option 7.1 Black-Scholes 7.2 Hedging Experiment 7.3 … Read more

A Theoretical and Practical Framework for Differential Machine Learning in Derivative Pricing

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:::info Author: (1) Pedro Duarte Gomes, Department of Mathematics, University of Copenhagen. ::: Table of Links Abstract Keywords and 2. Introduction Set up From Classical Results into Differential Machine Learning 4.1 Risk Neutral Valuation Approach 4.2 Differential Machine learning: building the loss function Example: Digital Options Choice of Basis 6.1 Limitations of the Fixed-basis 6.2 … Read more