2025-03-24
Educational Byte: Banned, Partially Banned, or Legal—How Crypto Laws Differ Worldwide
The Atlantic Council categorizes the legal status of crypto worldwide as this: “legal (where all activities are permitted), partial ban (where one or more activity is not permitted), and general...
Building a Robust JS/TS Monorepo: Best Practices with Yarn, NX and Changesets
This article explains how to build a robust JS/TS monorepo using Yarn v4 for workspaces, NX for efficient script execution and dependency management, and Changesets for automated versioning and releases....
C++ Metaprogramming: Compilation of Calculations, from Basic Techniques to Advanced Methods
This article demonstrates how modern C++ lets you perform computations at compile time using templates, constexpr, and related features. It covers classic template-based metaprogramming (e.g., factorial and Fibonacci calculations), then...
The TechBeat: The Man Behind ERC20 Wants to Make Web3 Human with LUKSO (3/24/2025)
How are you, hacker? 🪐Want to know what's trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set...
Achieving Fair AI Without Sacrificing Accuracy
This study tests SA-DRO’s effectiveness in reducing bias in DP-based fair learning models. Results show that SA-DRO minimizes bias toward majority attributes while maintaining accuracy. In federated learning, SA-DRO improves...
How to Test for AI Fairness
This study tests AI fairness using the COMPAS, Adult, and CelebA datasets, applying DP-based learning methods. Various classifiers, including logistic regression and neural networks, assess how well models handle demographic...
The Limits of Demographic Parity in AI Models
DP-based fair learning can introduce unintended biases favoring majority groups. This section explores the mathematical proofs behind these biases and introduces a distributionally robust optimization (DRO) approach to mitigate them.
How to Measure Fairness in AI Models
Fair supervised learning requires meeting fairness criteria, such as demographic parity. This section reviews standard fairness measures and dependence metrics used to detect and mitigate bias in AI models.
What to Do When ‘Fair’ AI Delivers Unfair Results
Demographic parity (DP) fairness methods in AI can unintentionally favor majority groups, leading to bias. This study introduces SA-DRO, an optimization technique that reduces this bias by adjusting for imbalanced...
Senator Schumer Votes to Let the Big Wooden Horse into Troy. “Yes,...
Senator Schumer Votes to Let the Big Wooden Horse into Troy. “Yes, there’s danger in opening our gates to this statue. But there’s also danger in keeping it out… the...
2025-03-23
Bybit Named Exclusive Payment Partner For Tomorrowland Brasil 2025-26, Launches Cardholder Presale
Tomorrowland Brasil 2025 is set for October 10-12 at Parque Maeda in Itu, São Paulo. Bybit Card holders have privileged early access to tickets before they become available to the...
Inside the $300B AI Giant: How to Land Your Dream Job at OpenAI in 2025
Here's everything you need to know - jobs, interview questions, company history, company position, and more - to get interviews, and ace them, to break into the most important company...
Solidity Is to Ethereum What Tact Is to TON — How to Build a Voting Smart Contract on TON Using Tact
The Open Network (TON) is a public, community-driven chain that supports decentralized applications. TON has four different languages for writing smart contracts: Tact, Tolk, FunC, and Fift. This guide focuses...
Meet the Bot That Reads All the Bad News Headlines So You Don’t Have To
Diffbot's Knowledge Graph has a simple purpose - bring the sum total of all knowledge to your fingertips via a search that emphasis data and relations.
AI Programming Assistant Tells User to Stop Being Lazy and Learn to Code
Like so many trolls before, AI is now, apparently, telling people to learn to code. As Ars Technica reports, the code-generating assistant Cursor seems, per a bug report, to have...
The Role of Curl Terms in Micromorphic Models
This article investigates an improved relaxed micromorphic model by incorporating Curl P and Curl Ṗ terms. The enhanced model resolves key limitations, enabling better wave propagation predictions, including higher-frequency modes...
How Symmetric and Skew-Symmetric Tensors Interact
This section examines the general form of 4th order tensors in tetragonal symmetry, Voigt notation representations, and the impact of symmetric/skew-symmetric tensor components on wave dispersion.
Semi-Analytical Algorithm for Metamaterial Parameter Fitting
This work focuses on a semi-analytical fitting algorithm for micromorphic models, leveraging Mathematica’s symbolic computation to optimize material parameters.
The Science Behind Stronger, Smarter Materials
This section refines asymptotic calculations in micromorphic models, tackling third-order polynomial complexities to improve wave dispersion accuracy and parameter fitting.
A New Method for Predicting How Waves Move Through Materials
Integrating Curl P simplifies asymptotic fitting in micromorphic models by reducing polynomial complexity. This enhances wave propagation analysis, optimizing shear and acoustic wave modeling. Future work aims to refine these...
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