4–7 Nov 2019

Schedule: Emerging Tech sessions

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11:3512:15 Thursday, 7 November 2019
Location: Hall A6
Oscar Barlow (Infinity Works)
Oscar Barlow walks you through a case study in productionizing a system for algorithmically determining your competitive strengths and weaknesses in UK retail. Read more.
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13:2514:05 Thursday, 7 November 2019
Location: Hall A6
Aish Dahal (Slack)
Aish Dahal explains how Slack uses compiler tools with the HipHop Virtual Machine (HHVM) in scaling and autorefactoring its large Hack code base. Read more.
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14:2015:00 Thursday, 7 November 2019
Location: Hall A6
Emily Shea (Fastly)
Average rating: *****
(5.00, 2 ratings)
Keyboards are the way most developers program computers, and being unable to use a keyboard for extended periods of time can seem like a career-ending limitation. Emily Shea leads a demo-driven showcase of the speech recognition technology she's been using for the last year, starting from a solution to repetitive strain injury (RSI) and developing into an efficient way to develop software. Read more.
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15:5016:30 Thursday, 7 November 2019
Location: Hall A6
Tess Rinearson (Tendermint Core)
Average rating: *****
(5.00, 1 rating)
Maybe you've tried to get a group of computers to come to a consensus. Computer scientists have studied this problem for decades, but it’s gained attention again recently as blockchains and cryptocurrencies rely on consensus algorithms to operate safely. Tess Rinearson introduces you to distributed consensus with an emphasis on the wide variety of algorithms used in blockchains. Read more.
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16:4517:25 Thursday, 7 November 2019
Location: Hall A6
Robin Marx (University of Hasselt, Expertise Centre for Digital Media EDM)
Average rating: *****
(5.00, 1 rating)
Deploying HTTP/2 correctly can be challenging in practice, and HTTP/3 will make things even more difficult as the underlying QUIC protocol runs over user datagram protocol (UDP). Robin Marx explores practical proxying, caching, load balancing, and routing issues and how to overcome them. Read more.

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