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Category: Mechanical Engineering

Views from the Cloud

Spotify’s Chief Architect, Niklas Gustavsson, was at the heart of the company’s journey to migrate its data centers to the Google Cloud Platform. In the first of two articles, he tells his story of the migration and how it enables engineers to focus on delivering a better audio experience for customers. It might come as a surprise that Spotify wasn’t always a cloud business. But, it’s important to remember we were founded in 2006 and launched two years later, at…

Band structure map exposes iron selenide’s enigmatic electronic signature — ScienceDaily

Using a clever technique that causes unruly crystals of iron selenide to snap into alignment, Rice University physicists have drawn a detailed map that reveals the “rules of the road” for electrons both in normal conditions and in the critical moments just before the material transforms into a superconductor. In a study online this week in the American Physical Society journal Physical Review X (PRX), physicist Ming Yi and colleagues offer up a band structure map for iron selenide, a…

Real-time User Signal Serving for Feature Engineering

Del Bao, Vikas Kumar: Software Engineer, Ads ML InfraZack Drach: Engineer Manager, Ads ML Infra More than 320 million unique visitors come to Pinterest every month to discover inspiring content, which also gives advertisers a unique opportunity to get their products in front of people with commercial intent. Curation of this personalized catalog requires accurate and real-time mapping of users’ short-term interests. Mapping long term interests is equally important for showing relevant content, as short-term interests can be noisy. Some typical use…

Controlling Text Generation with Plug and Play Language Models

This article is based on the paper “Plug and Play Language Models: A Simple Approach To Controlled Text Generation” by Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero Molino, Jason Yosinski, and Rosanne Liu. The transformer neural network architecture, developed by Vaswani et al. (2017), has enabled larger models and momentous progress in natural language processing (NLP) over the last two years. At Uber, we invest heavily in advancing NLP technologies and platforms to improve  interactions with…

Food Discovery with Uber Eats: Using Graph Learning to Power Recommendations

The Uber Eats app serves as a portal to more than 320,000 restaurant-partners in over 500 cities globally across 36 countries. In order to make the user experience more seamless and easy-to-navigate, we show users the dishes, restaurants, and cuisines they might like up front. To this end, we previously developed ML models to better understand queries and for multi-objective optimization in Uber Eats search and recommender system in Uber Eats searches and surfaced food options.  Existing research [1] has…

How To Protect Yourself from Scam Phone Calls

How often do you get calls from unknown numbers and answer only to find out it’s a machine or someone trying to obtain your information? Scam phone calls are becoming increasingly problematic in today’s digital age. There are different types and generally, include either a person at the end of the call or a ‘robocall.’ The latter is an automated, pre-recorded message. With so many varying kinds of spam callers, itis more vital than ever that we learn to safeguard…

Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

by David Berg, Ravi Kiran Chirravuri, Romain Cledat, Savin Goyal, Ferras Hamad, Ville Tuulos tl;dr Metaflow is now open-source! Get started at metaflow.org. Netflix applies data science to hundreds of use cases across the company, including optimizing content delivery and video encoding. Data scientists at Netflix relish our culture that empowers them to work autonomously and use their judgment to solve problems independently. We want our data scientists to be curious and take smart risks that have the potential for…

Data Compression for Large-Scale Streaming Experimentation

Julie (Novak) Beckley, Andy Rhines, Jeffrey Wong, Matthew Wardrop, Toby Mao, Martin Tingley Ever wonder why Netflix works so well when you’re streaming at home, on the train, or in a foreign hotel? Behind the scenes, Netflix engineers are constantly striving to improve the quality of your streaming service. The goal is to bring you joy by delivering the content you love quickly and reliably every time you watch. To do this, we have teams of experts that develop more…

Can We Make Artificial Consciousness?

In the December Scientific American, brain expert Christof Koch takes up the question of whether a machine will ever manifest consciousness.  This seemingly abstruse issue may arise in actual systems sooner than we think, and so considering it is worth doing before it happens. Consciousness itself is one of the leading puzzles of brain science.  Most of us can tell whether or not we are conscious, with the possible exception of dreams in which we are sure we’re awake, only…

Low Output Latency (LOL)HTML parser/rewriter

The second blog post in the series on HTML rewriters picks up the story in 2017 after the launch of the Cloudflare edge compute platform Cloudflare Workers. It became clear that the developers using workers wanted the same HTML rewriting capabilities that we used internally, but accessible via a JavaScript API. This blog post describes the building of a streaming HTML rewriter/parser with a CSS-selector based API in Rust. It is used as the back-end for the Cloudflare Workers HTMLRewriter.…