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Apache MXNet (incubating), Introduction and Application

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Apache MXNet (incubating), Introduction and Application

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Apache MXNet (incubating) is a flexible and efficient library for deep learning. MXNet has set some of the fastest training times as well as exhibiting strong and innovative edge in a variety of inference tasks.

We would like to invite you to join this meetup during which you learn about MXNet's features and application.

Agenda:
6:30 - 6:45 pm: Welcome and socializing
6:45 - 7:30 pm: Apache MXNet (incubating) ecosystem, Cyrus Vahid, Principal Evangelist at AWS AI Labs
7:30 - 7:45 pm: Break
7:45 - 8:30 pm: AI vs Malware: Threat Intelligence @ Work, Eduardo Dixo, Data Scientist at SIEMENS Cyber Defense Center and João Neves, Data Scientist at SIEMENS Cyber Defense Center

Apache MXNet (incubating) ecosystem
This talk provides a deep-dive into how Apache MXNet and the ecosystem that has been build on top of the Apache MXNet Engine provides training efficiency, developer productivity, inference efficiency, and model portability.

AI vs Malware: Threat Intelligence @ Work.
In 2017, an average of 200,000 new malware samples have been captured, each day, increasing by 328% from the previous year. Cybercriminals have stepped up their game, and they already use advanced techniques to create malware and to coordinate their attacks. In order to tackle the tremendous increase in attacks, we built a next generation Data Analytics platform to extend and enhance the current systems in place.

In this talk, he will explain an advanced cyber attack and how it can be discovered and stopped utilizing Deep Learning. He also will present the architecture of the CDC Guard AI platform which leverages AWS serverless components to build a lake that collects 6 TB of new log from 3 continents per day with a rate of 60000 events per second.

To learn more about Apache MXNet (incubating) please refer to:

PLEASE RSVP AS THE NUMBER OF SEATS ARE LIMITED.
We are looking forward to seeing you at the meetup.

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Deep Learning with Apache MXNet Berlin
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Krausenstraße 38
Krausenstraße 38 · Berlin, BE