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Category: Mechanical Engineering

Horovod Adds Support for PySpark and Apache MXNet and Additional Features for Faster Training

This article was originally published on The LF Deep Learning Foundation Blog. Horovod, a distributed deep learning framework created by Uber, makes distributed deep learning fast and easy-to-use. Horovod improves the speed, scale, and resource allocation for training machine learning (ML) models with TensorFlow, Keras, PyTorch, and Apache MXNet. LF Deep Learning, a Linux Foundation project which supports and sustains open source innovation in artificial intelligence and machine learning, accepted Horovod as one of its hosted projects in December 2018.…

Uber Open Source: Catching Up with Fritz Obermeyer and Noah Goodman from the Pyro Team

Over the past several years, artificial intelligence (AI) has become an integral component of many enterprise tech stacks, facilitating faster, more efficient solutions for everything from self-driving vehicles to automated messaging platforms. On the AI spectrum, deep probabilistic programming, a discipline that combines deep neural networks with probabilistic models, has emerged as a valuable means of reasoning about large-scale datasets under uncertain conditions. Given the novelty and complexity of AI, open source is fundamental to Uber’s footprint in this arena…

Cloudflare Access now supports RDP

Last fall, the United States FBI warned organizations of an increase in attacks that exploit vulnerabilities in the Remote Desktop Protocol (RDP). Attackers stole sensitive data and compromised networks by taking advantage of desktops left unprotected. Like legacy VPNs, RDP configurations made work outside of the office corporate network possible by opening a hole in it. Starting today, you can use Cloudflare Access to connect over RDP without sacrificing security or performance. Access enables your team to lock down remote…

MiGz for Compression and Decompression

Introduction Compressing and decompressing files with GZip normally uses a single thread. For large files, this can bottleneck dependent tasks like data processing, data analysis, and machine learning. Although there are several alternatives supporting multithreaded compression, such as pigz (command-line tool) and ParallelGZip (Java library), no GZip utility or Java library (for any compression format) supports multithreaded decompression. At LinkedIn, we routinely work with data ranging in size from several gigabytes to many terabytes; compression alleviates the problem of relatively…

Advancing additive manufacturing by slashing support

Xiaoping Qian holding a 3-D-printed beam. The silver parts are the optimized support structure for the beam. Credit: Sarah Page 3-D printing opens up design possibilities that engineers could once only dream of. The technology allows manufacturers to create parts with unique and complex shapes—parts that conventional manufacturing methods such as die casting or injection molding can’t produce. With 3-D printing, also known as additive manufacturing, a machine creates a part by adding material in layers, building the object…

Subdomain vs. Subdirectory SEO Strategy

Subdomain vs. Subdirectory: 2 Different SEO Strategies Alice and Bob are budding blogger buddies who met up at a meetup and purchased some root domains to start writing.  Alice bought aliceblogs.com and Bob scooped up bobtopia.com. Alice and Bob decided against WordPress because its what their parents use and purchased subscriptions to a popular cloud-based Ghost blogging platform instead. Bob decides his blog should live at at blog.bobtopia.com – a subdomain of bobtopia.com. Alice keeps it old school and builds…

Learning Hiring Preferences: The AI Behind LinkedIn Jobs

The technique we leverage to train the targeting to get smarter is called “online learning,” which is learning that happens in real time as our members use the product. Based on how you interact with candidates, our algorithm learns your preferences and delivers increasingly relevant candidates across the Jobs product. If you’re consistently interested in candidates who are, say, accountants with leadership skills, or project managers who are adept at social media, we’ll send you more of those. And this…

First Uber Science Symposium: Discussing the Next Generation of RL, NLP, ConvAI, and DL

At Uber, hundreds of data scientists, economists, AI researchers and engineers, product analysts, behavioral scientists, and other practitioners leverage scientific methods to solve challenges on our platform. From modeling and experimentation to data analysis, algorithm development, and fundamental research, the methods used by our teams reflect a commitment to advancing scientific discovery beyond the scope of our own use cases. On November 28, 2018, members of Uber’s scientific community hosted the first-ever Uber Science Symposium, a periodic event dedicated to…

Introducing Ludwig, a Code-Free Deep Learning Toolbox

Over the last decade, deep learning models have proven highly effective at performing a wide variety of machine learning tasks in vision, speech, and language. At Uber we are using these models for a variety of tasks, including customer support, object detection, improving maps, streamlining chat communications, forecasting, and preventing fraud. Many open source libraries, including TensorFlow, PyTorch, CNTK, MXNET, and Chainer, among others, have implemented the building blocks needed to build such models, allowing for faster and less error-prone…

Legal Shoplifting

At least that’s what it looks like.  In a few convenience stores in San Francisco, Chicago, and Seattle, you get in by having a certain Amazon app on your phone.  Once inside, you simply find what you want and walk out with it.  Cameras, RFID sensors, and other technology figures out who you are, how you’ve set up to pay, and charges your credit or debit card as you walk out the door with you box of Cheerios or whatever. …