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Category: Mechanical Engineering

Fighting Financial Fraud with Targeted Friction – Airbnb Engineering & Data Science – Medium

How Airbnb Battles Chargebacks while Minimizing Impact to Good Guests On any given night, nearly two million people are staying in Airbnb listings in 191 countries around the world. The rapid growth of our global community is predicated on one thing: trust. We take a comprehensive approach to trust, which consists of both robust proactive measures and reactive support, but today I want to focus on some of the work we do ahead of time — and often in the background — to prevent fraudsters…

Worm uploaded to a computer and trained to balance a pole

The analogue, natural version of C.elegans. Credit: TU Wien Is it a computer program or a living being? At TU Wien (Vienna), the boundaries have become blurred. The neural system of a nematode was translated into computer code – and then the virtual worm was taught amazing tricks. It is not much to look at: the nematode C. elegans is about one millimetre in length and is a very simple organism. But for science, it is extremely interesting. C. elegans…

Engineering Ethics Blog: Do Machines Determine Death?

Jahi McMath is legally dead in California, where a routine tonsillectomy on the thirteen-year-old girl went awry on Dec. 9, 2013 and she basically bled to death.  But she is still legally alive in New Jersey.  After refusing to let the California hospital harvest her organs, her family insisted she was still alive and moved her to New Jersey to take advantage of a law that allows them to do so.  Her case, described in a recent New Yorker article,…

How we made our page-load optimisations even faster

In 2017 we made two of our web optimisation products – Mirage and Rocket Loader – even faster! Combined, these products speed up around 1.2 billion web-pages a week. The products are both around 5 years old, so there was a big opportunity to update them for the brave new world of highly-tuned browsers, HTTP2 and modern Javascript tooling. We measured a performance boost that, very roughly, will save visitors to sites on our network between 50-700ms. Visitors that see…

System identifies music selections via brain scanning

It may sound like science fiction, but mind-reading equipment is much closer to reality than most people realize. A new study carried out at D’Or Institute for Research and Education used magnetic resonance imaging (MRI) to read participants’ minds and determine what song they were listening to. The study, published today in Scientific Reports, contributes to the improvement of the technique and paves the way to new research on reconstruction of auditory imagination and inner speech. In the clinical domain,…

NEAL, Uber’s Open Source Language-Agnostic Linting Platform

Every day, Uber’s engineers write hundreds of commits to our mobile codebase, with each new patch necessitating a thorough code review to spot bugs that might affect the user experience. To make code reviews easier, we built Not Exactly a Linter (NEAL), an open source language-agnostic tool that allows engineers to write custom syntax-based rules, thereby automating sections of the code review process. In this article, we discuss the benefits of NEAL and walk through how you can use it…

Trends in AI for Online Education: Recommending Micro-Content for Micro-Learning

Editor’s Note: Shivani Rao is a Senior Applied Researcher on the LinkedIn Learning Relevance team, where she works on applications of recommendation systems to online learning. She recently spoke at the RE•WORK Women in Machine Intelligence Dinner in San Francisco on the topic of micro-learning and other emerging trends in applied AI in the field of online education. What follows is a summary of her talk at the event.   In a knowledge economy, lifelong learning becomes inevitable for students…

Omphalos, Uber’s Parallel and Language-Extensible Time Series Backtesting Tool

Operating in more than 600 cities worlwide, Uber leverages aggregate data about user preferences to improve rider and driver experiences. Over time, these anonymously aggregated data points generate millions of time series, which can be viewed broadly or at a deep level of time granularity. These time series forecasts are essential to much of our decision making, from marketplace optimization and cost modeling to hardware capacity planning. To enable fast, flexible, and accurate forecasting and provide greater reliability and consistency…

Mapping Medium’s Tags – Medium Engineering

Representing the meaning of tags on Medium using machine learning This was originally published Jan 18, 2018 on Hatch, Medium’s internal instance, to explain a hack week project to the company. When you publish a post on Medium, you’re prompted to add labels to your post that describe what your post is about. These tags are mostly free-form. Authors can write whatever they think describes their post. Adding some tags to a Medium post. As far as data goes, these tags are…

Getting to Know Todd Palino

What are some of the coolest projects that you and your team have been working on?Because Apache Kafka was originally developed at LinkedIn, we have a very strong Kafka development team. Both the Kafka development and SRE teams are very focused on open source work. As part of the SRE team, I took time to develop Burrow, which is an advanced tool for monitoring Kafka consumers. This solved a problem that LinkedIn had with how to monitor our applications, but…