Uber

One Team at Uber is Moving from Microservices to Macroservices

Designing a Production-Ready Kappa Architecture for Timely Data Stream Processing

Peloton – Uber’s Webscale Unified Scheduler on Mesos & Kubernetes

Visualizing City Cores with H3, Uber’s Open Source Geospatial Indexing System

Faster Neural Networks Straight from JPEG

Uber AI Labs introduces a method for making neural networks that process images faster and more accurately by leveraging JPEG representations. Neural networks, an important tool for processing data in a variety of industries, grew from an academic research area to a cornerstone of industry over the last few years. Convolutional Neural Networks (CNNs) have been particularly useful for extracting information from images, whether classifying them, recognizing faces, or evaluating board positions in Go.

The Billion Data Point Challenge: Building a Query Engine for High Cardinality Time Series Data

Introducing Makisu: Uber’s Fast, Reliable Docker Image Builder for Apache Mesos and Kubernetes

Sessionizing Uber Trips in Real Time

Uber’s many data flows required modeling the data associated with a specific task, such as a rider trip, into a state machine. The state machine lets engineers focus on just the events needed to successfully accomplish a trip. In one sense, Uber’s challenge of efficiently matching riders and drivers in the real world comes down to the question of how to collect, store, and logically arrange data.

Uber lays off 100 safety drivers as it scales back self-driving tests

A videogame that powers quantum entanglement experiments

The random number generator Abellan wanted to use? Randos online. His group would design a game that used the 1 and 0 keys on a phone or computer keyboard as controller buttons.

Early thoughts on Uber’s flying car from an aviation engineer

Report: Software bug led to death in Uber’s self-driving crash

Ratings inflation on Uber and elsewhere

Uber asks riders to give their drivers a rating of one to five stars at the end of each trip. But very few people make use of this full scale. That’s because it’s common knowledge among Uber’s users that drivers need to maintain a certain minimum rating to work, and that leaving anything less than five stars could jeopardize their status.

Uber Is Ripping Off Frequent Riders and Here’s How to Avoid It

Arizona governor and Uber kept self-driving program secret, emails reveal

Uber Disabled Volvo SUV’s Safety System Before Fatality

Uber Technologies Inc. disabled the standard collision-avoidance technology in the Volvo SUV that struck and killed a woman in Arizona last week, according to the auto-parts maker that supplied the vehicle’s radar and camera.

Arizona Government Suspends Uber’s Self Driving Cars from Roads

The move by the Republican governor marks a major step back from his embrace of self-driving vehicles. He previously welcomed Uber and other autonomous vehicle companies to use Arizona as a place for testing under few, if any, regulations. In early March, he authorized self-driving vehicle companies to run tests without a person in the car to act as a safety operator.

Uber, losing $1 billion a quarter, sells its Southeast Asian business

MIT study shows how much driving for Uber or Lyft sucks

Captain Obvious Finally Arrives: Ride-sharing Actually Causes Congestion

A recurring theme among ride-hailing executives from the likes of Lyft and Uber is that their platforms will help reduce congestion in the world’s most populous cities. However, anyone actually living in these places will tell you it doesn’t appear to be working. Cities like New York were already clogged with taxi cabs but, instead of seeing all of these drivers buy personal vehicles to enlist as independent contractors for ride-hailing firms, Uber and Lyft brought in new drivers, more vehicles, and fresh competition.