THE BEST NLP PAPERS FROM ICLR 2020
I went through 687 papers that were accepted to ICLR 2020 virtual conference (out of 2594 submitted – up 63% since 2019!) and identified 9 papers with the potential to advance the use of deep learning NLP models in everyday use cases. Source: topbots.com
A HACKER’S GUIDE TO EFFICIENTLY TRAIN DEEP LEARNING MODELS
Three months ago, I participated in a data science challenge that took place at my company. The goal was to help a marine researcher better identify whales based on the appearance of their flukes. More specifically, we were asked to predict for each image of a test set, the top 20 most similar images from the full database (train+test). This was not a standard classification task. I spent 3 months prototyping and ended up third at the final (private) leaderboard.
Read moreMILLIONS OF TINY DATABASES
The Physalia configuration store for chain replication of EBS is implemented as key-value stores maintained over a large number of these cells. They built a test harness, called SimWorld, which abstracts networking, performance, and other systems concepts. The goal of this approach is to allow developers to write distributed systems tests, including tests that simulate packet loss, server failures, corruption, and other failure cases, as unit tests in the same language as the system itself.
Read moreNTP: BUILDING A MORE ACCURATE TIME SERVICE AT FACEBOOK SCALE
Almost all of the billions of devices connected to the internet have onboard clocks, which need to be accurate to properly perform their functions. Many clocks contain inaccurate internal oscillators, which can cause seconds of inaccuracy per day and need to be periodically corrected. Incorrect time can lead to issues, such as missing an important reminder or failing a spacecraft launch. Devices all over the world rely on Network Time Protocol (NTP) to stay synchronized to a more accurate clock over packet-switched, variable-latency data networks.
Read moreNASA TO LAUNCH 247 PETABYTES OF DATA INTO AWS – BUT FORGOT ABOUT EYE-WATERING CLOUDY EGRESS COSTS BEFORE LIFT OFF
NASA needs 215 more petabytes of storage by the year 2025, and expects Amazon Web Services to provide the bulk of that capacity. However, the space agency didn’t realize this would cost it plenty in cloud egress charges. As in, it will have to pay as scientists download its data. That omission alone has left NASA’s cloud strategy pointing at the ground rather than at the heavens. The data in question will come from NASA’s Earth Science Data and Information System (ESDIS) program, which collects information from the many missions that observe our planet.
Read moreREDUCING UDP LATENCY
Hi! I’m one of Embox RTOS developers, and in this article I’ll tell you about one of the typical problems in the world of embedded systems and how we were solving it. Control and responsibility is a key point for a wide range of embedded systems. On the one hand, sensors and detectors must notify some other devices that some event occurred, on the other hand, other systems should react as soon as possible.
Read moreCLOUDFLARE’S CURRENT EXPANSION IS DIFFERENT FROM THE OTHERS
The company is expanding its US network in a big way, and it’s turned to two edge data center startups for help. In January, Cloudflare, which helps companies make their web services run faster and be more secure – and which more recently started to use its global data center network to also provide cloud computing services – said it would expand the network in the US with three dozen new locations.
Read moreTHE INDUSTRY ESTIMATES THAT SAMSUNG ELECTRONICS PAID MORE THAN $483 MILLION TO AWS IN 2019
Samsung Electronics is planning to gradually lower its dependence on AWS (Amazon Web Service) and is looking to use its own cloud system because it believes that it is better for it to lower its dependency. Source: etnews.com
ONE TEAM AT UBER IS MOVING FROM MICROSERVICES TO MACROSERVICES
There may be an undiscovered tribe deep in some jungle somewhere that hasn’t made up their mind on microservices, but I doubt it. People love microservices or love to hate microservices. There’s not much in between. So it means something when even a team at a company like Uber announces a change away from microservices to something else. What? Macroservices. But we’ll get to that. Think what you want about Uber the company, but from a software perspective Uber has been a good citizen.
Read moreNEW KUBERNETES 1.18 EXTENDS INGRESS
Last month, the Kubernetes team released Kubernetes 1.18, which extended Ingress. The two most exciting features include a new IngressClass resource and the new pathType field. To minimize the risk for our users who want to try out these exciting new features, the Ambassador Edge Stack supports the latest version of the Kubernetes Ingress specifications. As a team, we believe strongly in continually supporting evolving standards such as Kubernetes ingress, which we adopted and announced our initial support back in September 2019.
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