Compute, data, and algorithmic advances are the three fundamental factors that guide the progress of modern Machine Learning (ML). In this paper we study trends in the most readily quantified factor – compute. We show that before 2010 training compute gre…

We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples of what this line of research has to offe…

We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples of what this line of research has to offe…

This paper reviews the recent literature on solving the Boolean satisfiability problem (SAT), an archetypal NP-complete problem, with the help of machine learning techniques. Despite the great success of modern SAT solvers to solve large industrial instan…

Testing video games is an increasingly difficult task as traditional methods fail to scale with growing software systems. Manual testing is a very labor-intensive process, and therefore quickly becomes cost prohibitive. Using scripts for automated testing…

State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server! – GitHub – xenova/transformers.js: State-of-the-art Machine Learning for the w…

New 2nd Edition of our book: “Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control” by Steven L. Brunton and J. Nathan KutzD…

(The “featured image” of this post is produced by a Shadertoy shader. Do you think the shader was written by a human or a machine? Reach the end of the post to find out!) Looking at the…

Как найти пользователя по твиту благодаря машинному обучению. Часть I Всем привет! Я ML-инженерка open-source-ного Machine Learning community Yachay AI. У нас небольшая команда, но большой опыт…