Hackernoon

:::info Authors: (1) Jiefei Yang, †Department of Mathematics, University of Hong Kong, Pokfulam, Hong Kong (jiefeiy@connect.hku.hk); (2) Guanglian Li, Department of Mathematics, University of Hong Kong, Pokfulam, Hong Kong (lotusli@maths.hku.hk). ::: Table of Links Abstract and 1. Introduction Bermudan option pricing and hedging Sparse Hermite polynomial expansion and gradient Algorithm and complexity Convergence analysis Numerical … Read more

How are you, hacker? 🪐 What’s happening in tech today, August 12, 2025? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, The very first PC was introduced by IBM in 1981, The Singer Sewing Machine is Patented in 1851, Erwin Schrödinger was born in 1887, and we present you … Read more

Spotlight is shifting to higher-upside setups as Ripple’s XRP steadies after a pullback and sentiment firms. Multiple desks, pointing to whale accumulation and cleaner technicals, are floating a run toward $7 in the coming months. Yet the ticker most traders keep orbiting is Pepeto (PEPETO), an Ethereum memecoin with rails, not just vibes: zero-fee PepetoSwap, … Read more

Seychelles — In a controlled environment, L1 protocol Qubic has successfully reached over 51% hashrate to dominate Monero, the privacy-focused cryptocurrency known for its ASIC-resistant RandomX algorithm. Led by Qubic founder Come-from-Beyond (CFB), the demo harnessed Qubic’s Useful Proof of Work (uPoW) framework to exceed Monero’s global hash rate, signaling the arrival of a new … Read more

The Long Hunt for the Next Paradigm For years, the same question kept resurfacing in pitch decks, boardrooms, and brainstorms: What’s going to be the next big thing in tech? Not just a new app or a slightly better camera, but a true paradigm shift: something as foundational as the PC, the smartphone, or the … Read more

For founders in the digital economy, the first year after incorporation can determine not only market success but also legal survival. The regulatory climate shapes every business decision, from product design to hiring. Nowhere is this more visible than in a side-by-side comparison of the European Union and the United States. To illustrate the gap, … Read more

Can Blockchain Rewards Move Beyond Mining and Staking? The idea that every participant in a blockchain network should be rewarded proportionally to their real contribution has been debated for years. Most chains reward miners or validators, while everyday users, developers, and liquidity providers often receive far less recognition in economic terms. Incentiv, an EVM-compatible Layer … Read more

Flutter is an amazing framework for rapid, beautiful cross-platform development, but along with rapid improvement in technology, the number of people using technology for unethical purposes is increasing as well, and hence, modern apps without proper security measures are a disaster waiting to happen. The image below is OWASP’s Top 10 Mobile App Risks In … Read more

Picture this: two dollars a month for internet from space. Not the familiar copper cables snaking through your walls, not fiber optic lines buried beneath city streets—actual satellites orbiting 340 miles above your head, beaming 5G signals directly to your phone. I would have called this science fiction eighteen months ago. Today, it’s operational reality. … Read more

Miami, Florida, August 11th, 2025/Chainwire/–FLOKI’s flagship play-to-earn MMORPG, Valhalla, has officially entered the U.S. mainstream with the debut of its first-ever national television commercial.  The 30-second spot aired on Saturday, August 9, at 6:30 p.m. EST during Valhalla’s interview segment on New To The Street. For the next 60 days, viewers across the United States … Read more

Table of Links Abstract and 1. Introduction Preliminaries Unifying PELT Methods Experiments 4.1 Experiment Setup 4.2 Analysis of Individual PELT Methods 4.3 Analysis of UNIPELT 4.4 Efficiency of PELT Methods Related Work Conclusion, Acknowledgements, and References 5 Related Work Parameter-Efficient Tuning of PLMs. As it is increasingly infeasible to train and store full copies of … Read more

Can a Traditional Money Market Fund Become Collateral for Crypto Trading? KuCoin has announced that it will now support UBS uMINT, the first tokenized money market investment fund launched by UBS Asset Management and distributed via DigiFT. This marks the first time a global cryptocurrency exchange has enabled institutional tokenholders to use UBS uMINT as … Read more

Table of Links Abstract and 1. Introduction Preliminaries Unifying PELT Methods Experiments 4.1 Experiment Setup 4.2 Analysis of Individual PELT Methods 4.3 Analysis of UNIPELT 4.4 Efficiency of PELT Methods Related Work Conclusion, Acknowledgements, and References 4 Experiments We conduct extensive experiments with 8 tasks × 4 data sizes × 7 methods × 5 runs … Read more

Table of Links Abstract and 1. Introduction Preliminaries Unifying PELT Methods Experiments 4.1 Experiment Setup 4.2 Analysis of Individual PELT Methods 4.3 Analysis of UNIPELT 4.4 Efficiency of PELT Methods Related Work Conclusion, Acknowledgements, and References 2 Preliminaries 2.1 PELT Methods without Additional Parameters PLMs can be used as feature extractors where only the top … Read more

:::info Authors: (1) Yuning Mao, University of Illinois Urbana-Champaign and the work was done during internship at Meta AI (yuningm2@illinois.edu); (2) Lambert Mathias, Meta AI (mathiasl@fb.com); (3) Rui Hou, Meta AI (rayhou@fb.com); (4) Amjad Almahairi, Meta AI (aalmah@fb.com); (5) Hao Ma, Meta AI (haom@fb.com); (6) Jiawei Han, University of Illinois Urbana-Champaign (hanj@illinois.edu); (7) Wen-tau Yih, … Read more

CocoIndex is designed to be production-ready from day one—built to process data in parallel, maximizing throughput while keeping your systems safe. Today, we’ll look at how to optimize performance without overloading your environment. With CocoIndex, it’s just one configuration away. :star2: Star CocoIndex if you like it – https://github.com/cocoindex-io/cocoindex CocoIndex’s parallelism model boosts speed by … Read more

Why did Aditxt turn to Crypto.com to secure its biotech treasury? Aditxt, a social innovation platform advancing health technologies, signed an agreement with Crypto.com to establish a custodial crypto account. The move supports its plan to back biotech innovation with a digital asset reserve including Bitcoin. Under the agreement Crypto.com will serve as custodian for … Read more

Has OpenAI Finally Embraced Transparency, or Is GPT-OSS Just Another Closed Box? OpenAI recently announced the release of GPT-OSS, a suite of open-weight language models that can run locally on consumer-grade hardware. While this marks a significant change from OpenAI’s historically closed approach to model access, the release has sparked debate about what “open” really … Read more

Table of Links Introduction Hypothesis testing 2.1 Introduction 2.2 Bayesian statistics 2.3 Test martingales 2.4 p-values 2.5 Optional Stopping and Peeking 2.6 Combining p-values and Optional Continuation 2.7 A/B testing Safe Tests 3.1 Introduction 3.2 Classical t-test 3.3 Safe t-test 3.4 χ2 -test 3.5 Safe Proportion Test Safe Testing Simulations 4.1 Introduction and 4.2 Python … Read more

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 email preference here. ## I Built a Custom MCP Server in Golang To Make Claude Smarter—Here’s How By @rajashree [ 10 Min read ] Build … Read more

Table of Links Introduction Hypothesis testing 2.1 Introduction 2.2 Bayesian statistics 2.3 Test martingales 2.4 p-values 2.5 Optional Stopping and Peeking 2.6 Combining p-values and Optional Continuation 2.7 A/B testing Safe Tests 3.1 Introduction 3.2 Classical t-test 3.3 Safe t-test 3.4 χ2 -test 3.5 Safe Proportion Test Safe Testing Simulations 4.1 Introduction and 4.2 Python … Read more

Based on my experience across the eCommerce, autonomous vehicle, and financial services domains, I have observed that customer experience (CX) maturity is no longer driven by marketing alone. It is the outcome of orchestrated, data-driven systems that integrate Customer Relationship Management (CRM) platforms, Customer Data Platforms (CDPs) and AI-native decision models. Enterprises that achieve the … Read more

Table of Links Introduction Hypothesis testing 2.1 Introduction 2.2 Bayesian statistics 2.3 Test martingales 2.4 p-values 2.5 Optional Stopping and Peeking 2.6 Combining p-values and Optional Continuation 2.7 A/B testing Safe Tests 3.1 Introduction 3.2 Classical t-test 3.3 Safe t-test 3.4 χ2 -test 3.5 Safe Proportion Test Safe Testing Simulations 4.1 Introduction and 4.2 Python … Read more

Table of Links Introduction Hypothesis testing 2.1 Introduction 2.2 Bayesian statistics 2.3 Test martingales 2.4 p-values 2.5 Optional Stopping and Peeking 2.6 Combining p-values and Optional Continuation 2.7 A/B testing Safe Tests 3.1 Introduction 3.2 Classical t-test 3.3 Safe t-test 3.4 χ2 -test 3.5 Safe Proportion Test Safe Testing Simulations 4.1 Introduction and 4.2 Python … Read more

Table of Links Introduction Hypothesis testing 2.1 Introduction 2.2 Bayesian statistics 2.3 Test martingales 2.4 p-values 2.5 Optional Stopping and Peeking 2.6 Combining p-values and Optional Continuation 2.7 A/B testing Safe Tests 3.1 Introduction 3.2 Classical t-test 3.3 Safe t-test 3.4 χ2 -test 3.5 Safe Proportion Test Safe Testing Simulations 4.1 Introduction and 4.2 Python … Read more

Table of Links Introduction Hypothesis testing 2.1 Introduction 2.2 Bayesian statistics 2.3 Test martingales 2.4 p-values 2.5 Optional Stopping and Peeking 2.6 Combining p-values and Optional Continuation 2.7 A/B testing Safe Tests 3.1 Introduction 3.2 Classical t-test 3.3 Safe t-test 3.4 χ2 -test 3.5 Safe Proportion Test Safe Testing Simulations 4.1 Introduction and 4.2 Python … Read more

Table of Links Introduction Hypothesis testing 2.1 Introduction 2.2 Bayesian statistics 2.3 Test martingales 2.4 p-values 2.5 Optional Stopping and Peeking 2.6 Combining p-values and Optional Continuation 2.7 A/B testing Safe Tests 3.1 Introduction 3.2 Classical t-test 3.3 Safe t-test 3.4 χ2 -test 3.5 Safe Proportion Test Safe Testing Simulations 4.1 Introduction and 4.2 Python … Read more

Table of Links Introduction Hypothesis testing 2.1 Introduction 2.2 Bayesian statistics 2.3 Test martingales 2.4 p-values 2.5 Optional Stopping and Peeking 2.6 Combining p-values and Optional Continuation 2.7 A/B testing Safe Tests 3.1 Introduction 3.2 Classical t-test 3.3 Safe t-test 3.4 χ2 -test 3.5 Safe Proportion Test Safe Testing Simulations 4.1 Introduction and 4.2 Python … Read more

Table of Links Introduction Hypothesis testing 2.1 Introduction 2.2 Bayesian statistics 2.3 Test martingales 2.4 p-values 2.5 Optional Stopping and Peeking 2.6 Combining p-values and Optional Continuation 2.7 A/B testing Safe Tests 3.1 Introduction 3.2 Classical t-test 3.3 Safe t-test 3.4 χ2 -test 3.5 Safe Proportion Test Safe Testing Simulations 4.1 Introduction and 4.2 Python … Read more

Table of Links Introduction Hypothesis testing 2.1 Introduction 2.2 Bayesian statistics 2.3 Test martingales 2.4 p-values 2.5 Optional Stopping and Peeking 2.6 Combining p-values and Optional Continuation 2.7 A/B testing Safe Tests 3.1 Introduction 3.2 Classical t-test 3.3 Safe t-test 3.4 χ2 -test 3.5 Safe Proportion Test Safe Testing Simulations 4.1 Introduction and 4.2 Python … Read more