Research and applications in Machine Learning are limited by computational resources, while 1% of the world's electricity goes into calculating 34 billion billion SHA-256 hashes per second, four orders of magnitude more than the 200 petaflop power of the world's most powerful supercomputer. The work presented here describes how a simple soft fork on Bitcoin can adapt these incomparable resources to a global distributed computer. By creating an infrastructure and ledger fully compatible with blockchain technology, the hashes can be replaced with stochastic optimizations such as Deep Net training, inverse problems such as GANs, and arbitrary NP computations.
翻译:机器学习的研究和应用受到计算资源的限制,而世界电力的1%用于计算340亿SHA-256亿个每秒,比世界上最强大的超级计算机的200个百万兆帕功率高出4个数量级。这里介绍的工作描述了比特币上的简单软叉子如何将这些无法比拟的资源改造为全球分布式计算机。通过建立一个完全与连锁技术兼容的基础设施及分类账,这些废电可以被深网培训、GANs等反面问题和任意的NP计算等随机优化取代,如深网培训。