A monthly overview of things you need to know as an architect or aspiring architect.

it can be fed into a machine-learning algorithm. Machine learning is the process that powers many of the services we use today—recommendation systems like those on Netflix, YouTube, and Spotify ...

Steam is deploying a new, AI-powered algorithm to make content recommendations in gaming. Will it perform better than the old, tag-based system? Share on Facebook (opens in a new window ...

Netflix uses machine learning and algorithms to help break viewers ... couple of thousand" – and it’s these that affect what recommendations pop up to the top of your onscreen interface ...

Recommendation algorithms are some of the most powerful machine-learning systems today because of their ability to shape the information we consume. YouTube’s algorithm, especially, has an ...

and more are currently using Dynamic Yield’s deep learning algorithm to maximize the performance of their product recommendations. The advanced machine learning-powered strategy has already ...

YouTube’s video recommendation algorithm often violates ... largely thanks to YouTube’s investments in machine learning.

This paper presents a set of collaborative filtering algorithms that produce product recommendations to diversify and optimize a country's export structure in support of sustainable long-term growth.