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Hackernoon's Articles

How Altitude Finance Turned Bitcoin Into a $26 Million Lending Infrastructure

How Altitude Finance Turned Bitcoin Into a $26 Million Lending Infrastructure

Altitude Finance CEO explains how Bitcoin-collateralized lending achieves 2.63% rates and $26M TVL while surviving 18 months without user fund losses.

The HackerNoon Newsletter: Stop the Generative AI Arms Race Before It Stops Us (12/17/2025)

The HackerNoon Newsletter: Stop the Generative AI Arms Race Before It Stops Us (12/17/2025)

How are you, hacker? 🪐 What’s happening in tech today, December 17, 2025? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On

Data Strategy for MaGGIe: Bridging the Gap in Matting Resources

Data Strategy for MaGGIe: Bridging the Gap in Matting Resources

To address the lack of public task-specific data, MaGGIe utilizes synthesized training sets from instance-agnostic sources for robust evaluation and generalization

MaGGIe's Coarse Alpha Matte Prediction: Temporal Feature Aggregation

MaGGIe's Coarse Alpha Matte Prediction: Temporal Feature Aggregation

MaGGIe ensures temporal consistency in video matting using bidirectional Conv-GRU to fuse feature maps and predict coarse alpha mattes

MaGGIe Architecture: Efficient Mask-Guided Instance Matting

MaGGIe Architecture: Efficient Mask-Guided Instance Matting

MaGGIe introduces an efficient framework using Cross-Attention, Self-Attention, and Sparse Convolutions for mask-guided instance matting, ensuring high accuracy

Evolution of Matting: From Traditional Sampling to MaGGIe's Instance Approach

Evolution of Matting: From Traditional Sampling to MaGGIe's Instance Approach

While prior methods struggle with trimap inaccuracies or single-object assumptions, MaGGIe offers efficient instance matting and enhanced temporal consistency.

Turning Your Data Swamp into Gold: A Developer’s Guide to NLP on Legacy Logs

Turning Your Data Swamp into Gold: A Developer’s Guide to NLP on Legacy Logs

The NLP Cleaning Pipeline is a tool to clean, vectorize, and analyze unstructured "free-text" logs. It uses Python 3.9+ and Scikit-Learn for vectorization and similarity

Inside a Practitioner Survey on Modern Code Review Priorities

Inside a Practitioner Survey on Modern Code Review Priorities

Based on a survey of experienced software practitioners, this study finds strong support for code review research focused on code quality, defects, and process

MaGGIe: Achieving Temporal Consistency in Video Instance Matting

MaGGIe: Achieving Temporal Consistency in Video Instance Matting

MaGGIe is an efficient framework for multi-instance human matting using sparse convolution and transformer attention to ensure temporal consistency in videos.

How to Build Real-World Drone Avatars with WebRTC and Python

How to Build Real-World Drone Avatars with WebRTC and Python

Drone Avatar is the next evolution of "Telework". The drone Avatar system requires three distinct layers: The Edge (The Drone), The Pipe (The Network), and The