Jun
26
2017
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Facebook, Microsoft, YouTube and Twitter form Global Internet Forum to Counter Terrorism

 Today Facebook, Microsoft, YouTube and Twitter collectively announced a new partnership aimed at reducing the accessibility of internet services to terrorists. The new Global Internet Forum to Counter Terrorism adds structure to existing efforts by the companies to target and remove recruiting materials for terror groups from major web platforms. Together, the four tech leaders say they… Read More

Jun
14
2017
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Facebook teaches machines to negotiate with humans

 Though Facebook is rarely mentioned alongside Apple, Microsoft and Amazon in discussions about conversational AI, the company has published a hoard of papers that underscore a deep interest in dialog systems. As has become clear with Siri, Cortana and Alexa, dialog is hard — it requires more than just good speech recognition to deliver a killer experience to users. From the sidelines… Read More

Jun
08
2017
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Facebook is speeding up training for visual recognition models

 Every minute spent training a deep learning model is a minute not doing something else and in today’s fast paced world of research, that minute is worth a lot. Facebook published a paper this morning detailing its personal approach to this problem. The company says its managed to reduce the training time of a ResNet-50 deep learning model on ImageNet from 29 hours to one. Facebook managed… Read More

May
16
2017
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The Partnership on AI adds Intel, Salesforce and others as it formalizes Grand Challenges and work groups

 Intel, Salesforce, eBay, Sony, SAP, McKinsey & Company, Zalando and Cogitai are joining the Partnership on AI, a collection of companies and non-profits that have committed to sharing best practices and communicating openly about the benefits and risks of artificial intelligence research. The new members will be working alongside existing partners that include Facebook, Amazon, Google,… Read More

May
04
2017
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These big tech companies pay their interns the most

 It’s May and that means the window for locking down internships at tech companies is rapidly closing. In reflection of the 2017 recruiting season, Glassdoor took some time to analyze its anonymized salary data, producing a report of the highest paying internships for 2017. We went ahead and pulled the tech companies from the list, and among large tech companies, Facebook leads the… Read More

May
02
2017
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Facebook’s fastText library is now optimized for mobile

 This morning Facebook’s AI Research (FAIR) lab released an update to fastText, its super-speedy open-source text classification library. When it was initially released, fastText shipped with pre-trained word vectors for 90 languages, but today it’s getting a boost to 294 languages. The release also brings enhancements to reduce model size and ultimately memory demand. Read More

Apr
27
2017
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Percona Live 2017: Beringei – Facebook’s Open Source, In-Memory Time Series Database (TSDB)

Beringei

BeringeiSo that is just about a wrap here at Percona Live 2017 – except for the closing comments and prize giveaway. Before we leave, I have one more session to highlight: Facebook’s Beringei.

Beringei is Facebook’s open source, in-memory time series database. Justin Teller, Engineering Manager at Facebook, presented the session. According to Justin, large-scale monitoring systems cannot handle large-scale analysis in real time because the query performance is too slow. After evaluating and rejecting several disk-based and existing in-memory cache solutions, Facebook turned their attention to writing their own in-memory TSDB to power the health and performance monitoring system at Facebook. They presented “Gorilla: A Fast, Scalable, In-Memory Time Series Database (http://www.vldb.org/pvldb/vol8/p1816-teller.pdf)” at VLDB 2015.

In December 2016, they open sourced the majority of that work with Beringei (https://github.com/facebookincubator/beringei). In this talk, Justin started by presenting how Facebook uses this database to serve production monitoring workloads at Facebook, with an overview of how they use it as the basis for a disaster-ready, high-performance distributed system. He closed by presenting some new performance analysis comparing (favorably) Beringei to Prometheus. Prometheus is an open source TSDB whose time series compression was inspired by the Gorilla VLDB paper and has similar compression behavior.

After the talk, Justin was kind enough to speak briefly with me. Check it out:

It’s been a great conference, and we’re looking forward to seeing you all at Percona Live Europe!

Apr
24
2017
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Facebook launches telco infrastructure accelerator with Orange

 Back in February, the Facebook-led Telecom Infrastructure Project led a call to put $170 million into startups focusing on solutions to improve infrastructure: the switching technologies, engineering, cabling and other components that go into building networking for internet and other communications services. Today comes one more advance on that front: Facebook and the TIP are working… Read More

Apr
21
2017
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Machine intelligence is the future of monetization for Facebook

 That was effectively the only conversation missing from Facebook’s F8 conference — an event that even made time for a progress update on a moonshot project that might one day allow us to hear through our skin. Perhaps that’s the luxury of a company whose advertising revenue is up 57 percent year-over-year. But don’t misconstrue unseen for unimportant. Behind… Read More

Apr
19
2017
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Facebook is improving the 360 video experience by predicting where you will look

 From the stage of F8, Joaquin Quinonero, Facebook’s Director of Applied Machine Learning, described a new technique the company is using to improve the watching experience for 360 videos. The format is challenging to deliver because of its size, but Facebook is using machine learning to reduce the number of pixels that have to be rendered at any one time. By predicting where a viewer… Read More

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