Description
How hackers start their afternoons.
Feed Activity
Latest Posts
We Tried Fire Opal on a Quantum GAN: Here's What Happened
Fire Opal improved C-QGAN circuit results by 30ā40% on IBM Kyoto, using AI-driven circuit optimization and noise suppression techniques.
The HackerNoon Newsletter: Testing LLMs on Solving Leetcode Problems in 2025 (4/8/2025)
How are you, hacker? šŖ Whatās happening in tech today, April 8, 2025? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, Bahrain's WTC construction...
Which Quantum Noise Mitigation Technique Is Right for Your Circuit?
A breakdown of five quantum error mitigation strategies, analyzing their strengths, costs, and practical use in noisy intermediate-scale quantum systems.
How Fire Opal Makes Quantum Data Loading Smarter and More Accurate
Fire Opal improves quantum data loading by up to 40% using AI optimization and error suppression on IBM hardware, tested with a quantum GAN algorithm.
The Platform Built for MENA: Why amana Isnāt Just Another Trading and Investing App
amana isnāt just another trading appāitās a purpose-built platform for the MENA region. From cloud-native design to offering 450+ crypto assets, amana merges traditional and modern investing in one seamless...
On the Structure of Burch Ideals and Their Duals in Local Rings
Explore Burch ideals, depth-zero rings, and periodicity in resolutions with insights from Eisenbud, Dao, and Avramov in this algebraic deep dive.
ChangeNOW: How to Launch a Fully Functional Crypto Exchange in 3 Days For Free
ChangeNOW offers a free, no-code way to launch your own crypto exchange in under 3 days using their open-source API. With access to 1250+ coins, built-in liquidity, customizable features, and...
When Rating AI Chatbots, More Context Isn't Always Better
More context improves label consistency, but excess context can reduce reliability in evaluating usefulness. Heuristic context works best for simplicity, while LLMs excel in dynamic settings.
Why Our Prototype-based AI Beats Traditional Concept Learning Approaches
Explore a novel AI framework for concept interoperability, using self-supervised learning and prototypes to ensure concept stability across domains.
How Reliable Are AI Concepts in Real-World Domain Adaptation Tasks?
See comprehensive experiments evaluating AI concept-learning across domains, showing superior generalization, concept fidelity, and detailed visual insights.
Can AI Concepts Truly Generalize Across Different Domains? Experiments Reveal Answers
Discover detailed experiments evaluating a novel concept-learning AI framework across multiple datasets and comparing it to state-of-the-art methods.
Can AI-Generated Context Improve the Quality of Crowdsourced Feedback?
Heuristic context significantly enhances crowdsourced label consistency, especially for relevance. LLM-generated context lags in quality, failing to match human-level context accuracy.
Zero Isnāt a Problem, Itās a Shortcut: Rethinking PDFA Learning
We propose a fast learning algorithm for quotient PDFA to model LLMs under constrained generation and validate its efficiency and real-world utility.
What Happens When Language Models Say 'Nothing'?
We propose a new congruence and learning algorithm to analyze constrained neural text generation using quotient probabilistic automata.
Is IEACD Truly Secure, or Just a Patched Illusion?
A deeper cryptanalysis shows IEACD remains insecure due to key reuse, weak keystreams, and flawed diffusion, even after fixing IEATD vulnerabilities.
Can One Plain Image Break an Entire Encryption Algorithm?
A deep cryptanalysis reveals flaws in IEATD and IEACD image encryption schemes, exposing vulnerabilities to known and chosen plaintext attacks.
The Surprising Effects of Minimal Dialogue Context on AI Judgment
More context leads to higher agreement on relevance labels. However, usefulness ratings become inconsistent with excessive context due to user feedback contradictions.
Returns are Rising Fast ā and Not Enough Tools are Focused on Stopping Them at the Source
In 2024, nearly one in five online purchases ended up being returned. The democratization of eCommerce platforms has created an explosion in online retail presence. Research shows that consumers are...
One Decision Tree Is a RiskāA Forest? Thatās Smart Machine Learning
Ever made a tough call on your own and immediately second-guessed it? Machine learning models can do the same.
Mint, Match, Mingle: A Better Way to Connect on the Blockchain
SOLmates is a project that turns NFTs into connectors. Each token is minted with a soulmate, but that pair stays locked until the right two holders come along. It's Tinder...