Amboss Targets Bitcoin Scalability with New Machine Learning Research
Summary
Collaborating with Emanuele Rossi from VantAI and Vikash Singh from Stillmark, the Amboss team evaluated several machine learning models against traditional heuristic methods. "Our research indicates that machine learning models can predict channel balances with significantly higher accuracy than existing methods," said Vincent, Senior Data Scientist at Amboss Technologies. Improved pathfinding efficiency could lead to wider adoption of the network, enhancing the overall utility of Bitcoin as a payment system, and setting the stage for future ML automation. Amboss Technologies is at the forefront of applying machine learning to one of the most critical issues facing cryptocurrencies today: scalability. Amboss supports businesses and consumers in improving connections and payment routes based on cost, reliability, or reputation as well as enterprise-grade risk management.