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How hackers start their afternoons.
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How to Approach the Most Popular Futures, Options and Other Derivatives in Crypto and Legacy Markets
Derivatives can be created from any underlying asset, Stocks, Bonds, Cryptocurrencies, commodities, etc. Derivatives are used in two major ways. Hedging purposes are usually used by larger players. Speculation and...
You Can Use Golf as a Web Framework for C
How to use C for web development
The TechBeat: Give Feedback, Get Rewarded: Win Sony Headphones or an iPad for Helping Shape HackerNoonâs Future (3/7/2025)
How are you, hacker? đȘWant 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...
Finding XPath Bugs in XML Document Processors via Differential Testing
We implemented and evaluated our approach on six widelyused XML process systems, which successfully found 27 previously-unknown unique bugs.
A Generalization of Our Exit-problem for a Class of Non-Markov Processes With Path Dependency Paper
In this section, we present the possible generalization of Assumptions A-1 and A-2 as well as the exit-time result for this more general process
A Mathematical Overview of Dimension Reduction in Text Classification
Dimension reduction refines text classification by reducing feature space while preserving cluster structure. Scatter matrices (Sw, Sb) measure intra-class and inter-class distances, ensuring better classification performance with fewer dimensions.
A Brief Introduction to Statistical Parsing
Statistical parsing uses probabilistic context-free grammars (PCFGs) to analyze sentence structures. Each rule in a grammar has a probability based on corpus data, allowing NLP models to disambiguate competing parse...
When Words Wonât Talk, Sentence Structures Spill the Truth
Statistical parsing proves effective in distinguishing authors by analyzing grammatical structures rather than traditional word-based methods. While The Federalist Papers benefited from dimensionality reduction, Sanditon did not, highlighting the methodâs...
Can AI Tell Jane Austenâs Writing Apart from a Fake?
Using statistical parsing, this study confirms distinct stylistic differences between Jane Austenâs unfinished Sanditon and its continuation. Unlike in The Federalist Papers, POS tagging proves effective in distinguishing authorship, revealing...
Deep Syntax and Dead Founders: How AI Deciphered The Federalist Papers
Using statistical parsing and syntactic tree features, this study accurately attributes The Federalist Papers to their authors. Rooted subtrees outperform POS tagging in distinguishing writing styles, proving the effectiveness of...
Inside the Incredible Potential of Quantum Computing in Drug Development
Drug development is time-consuming, costly, and complex â but quantum computing could allow results in mere months rather than years by accelerating data generation, rapidly solving complex problems, and authentically...
Code Smell 293 - You Should Avoid Adding isTesting or Similar Flags
When you add flags like isTesting, you mix testing and production code. This creates hidden paths that are only active in tests.
Consent: Itâs Not Just for Doctorsâ Offices AnymoreâTech Needs It Too
In the world of technology and data privacy, consent plays a crucial role. The principles of medical consent that govern our most serious health decisions also apply to the digital...
SquareX Unveils Polymorphic Extensions That Morph Infostealers Into Any Browser Extension
Polymorphic extensions work by exploiting the fact that most users interact with extensions via the pinned in the browser toolbar. The attack begins with the user installing the malicious extension,...
Bybit Becomes The First Exchange To List USDtb , Bringing Institutional-Grade Stability To Crypto
Bybit becomes the first platform to include USDtb, a blockchain-based USD stablecoin, on its Spot exchange. Bybit is offering 5% Annual Percentage Rate (APR) for new and existing eligible users...
Answer To Win from $2000: How Does Decentralized Cloud Compare to Traditional Cloud Services?
The #blockchain Writing Contest by Aleph Cloud and HackerNoon offers $700 for the best takes on decentralized cloud computing. Answer key questions on decentralizationâs advantages, real-world applications, and challenges. Submit...
The Hidden Power of "Cherry" Parameters in Large Language Models
Not all parameters in LLMs matter equally! This blog explores parameter heterogeneity and how some "cherry" parameters significantly impact performance. Learn how optimizing them can boost efficiency.
Rethinking AI Quantization: The Missing Piece in Model Efficiency
Quantization helps reduce LLM memory demands, but existing methods overlook parameter heterogeneity. Learn how new approaches like CherryQ address this issue for better efficiency.
The Future of AI Compression: Smarter Quantization Strategies
Whatâs the best way to select parameters for mixed-precision training? This blog compares different approaches and highlights how CherryQ sets a new standard in LLM quantization.
The Impact of Parameters on LLM Performance
Discover how parameter heterogeneity affects LLM performance. Learn how researchers measure the importance of different parameters and optimize mixed-precision training for better results.