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Category: Mechanical Engineering

Four Ways Uber Visualization Made an Impact in 2018

By Nicolas Garcia Belmonte For those unfamiliar with the work of Uber’s Visualization group, our team focuses on delivering data products for a variety of customers, from city authorities to self-driving engineers. We support the organization with advanced products to better understand self-driving car, geospatial, and business data in the context of urban mobility. The interactive systems we develop enhance people’s ability to understand and communicate data. At Uber, these systems are used in a variety of domains, helping teams…

Coding Conversations: Interviews on Replacing Infrastructure Systems at LinkedIn

LinkedIn’s infrastructure has grown remarkably over the years, and that has kept the Production Infrastructure Engineering teams on their toes. Growing quickly means we’ve had to learn to adapt quickly. While most of our systems are solid and ready to scale, from time to time we find ourselves supporting systems that struggle to meet increasing demands. It’s common advice to write software that can support 10x the needs you have today. At LinkedIn, that amounts to maybe a few years of growth.…

Has Human Gene Editor Been Edited Himself?

Dr. Jiankue He of the Southern University of Science and Technology in Shenzhen, China, claims to have used a gene-editing technology called CRISPR/Cas9 to edit the genes of twin girls in order to make the babies resistant to the AIDS virus carried by their father.  When news of his experiment leaked out, scientists and governments around the world attacked him for doing what is widely viewed as an unethical experiment.  After Dr. He tried to defend himself at a Human…

New study shows how newly created cardiac muscle cells can be made to pump together — ScienceDaily

A team of Rutgers scientists, including Leonard Lee and Shaohua Li, have taken an important step toward the goal of making diseased hearts heal themselves — a new model that would reduce the need for bypass surgery, heart transplants or artificial pumping devices. The study, recently published in Frontiers in Cell and Developmental Biology, involved removing connective tissue cells from a human heart, “reverse-engineering” them into heart stem cells, then “re-engineering” them into heart muscle cells. The Rutgers team’s true…

Implementing the Netflix Media Database – Netflix TechBlog – Medium

In the previous blog posts in this series, we introduced the Netflix Media DataBase (NMDB) and its salient “Media Document” data model. In this post we will provide details of the NMDB system architecture beginning with the system requirements — these will serve as the necessary motivation for the architectural choices we made. A fundamental requirement for any lasting data system is that it should scale along with the growth of the business applications it wishes to serve. NMDB is built to…

Horovod Joins the LF Deep Learning Foundation as its Newest Project

By Brian Hsieh Announced today, Horovod, Uber’s open source distributed training framework, joins the LF Deep Learning Foundation, a community umbrella project of The Linux Foundation that supports and sustains open source innovation in artificial intelligence, machine learning, and deep learning. “The LF Deep Learning Foundation is focused on building an ecosystem of AI, deep learning and machine learning projects, and today’s announcement of Uber’s contribution of the Horovod project to the foundation represents significant progress toward achieving this vision,”…

HyperLogLog in Presto: Faster cardinality estimation

Computing the count of distinct elements in massive data sets is often necessary but computationally intensive. Say you need to determine the number of distinct people visiting Facebook in the past week using a single machine. Doing this with a traditional SQL query on a data set as massive as the ones we use at Facebook would take days and terabytes of memory. To speed up these queries, we implemented an algorithm called HyperLogLog (HLL) in Presto, a distributed SQL…

User retention at Pinterest: tackling an ambiguous problem

Revant Kapoor | Technical Lead, Engagement Growth User retention is an important but nebulous idea. It’s hard to acquire users and even harder to help them feel at home through an engaging and relevant experience. So when some of those users start to leave the platform, your first thought is to re-engage them. It’s important, though, to understand what they liked about Pinterest and help them reconnect with the platform. As Pinterest has gone global with hundreds of millions of…

Facebook joins MLPerf, open-sources Mask R-CNN2Go

Facebook has long supported open standards and interoperability between frameworks and hardware for driving machine learning (ML) innovation with projects like Open Neural Network Exchange (ONNX) and PyTorch. Developing industry-standard ML models and benchmarks will enable researchers and engineers to better evaluate and demonstrate the impact of their work. This is why we are supporting the MLPerf initiative. As part of this support, we are also open-sourcing Mask R-CNN2Go, our leading-edge computer vision model optimized for embedded and mobile devices.…

Scaling Cash Payments in Uber Eats

By Steven Austin This article is the fourth in a series covering how Uber’s mobile engineering team developed the newest version of our driver app, codenamed Carbon, a core component of our ridesharing business. Among other new features, the app lets our population of over three million driver-partners find fares, get directions, and track their earnings. We began designing the new app in conjunction with feedback from our driver-partners in 2017 and began rolling it out for production in September…