This online video was recorded at Code BEAM America 2021 – https://codesync.international/conferences/code-beam-sf-2021/
Machine learning, IoT and Erlang: is this the appropriate blend for reputable federated discovering? | Anna-Lito Michala – Assistant Professor in Easy to understand Autonomous Devices at the School of Computing Science, University of Glasgow
Abstract
Edge computing and has floor-breaking possible to effects in IoT. Porting Machine Learning abilities to the IoT device is hugely appealing to lessen cloud dependency. Makes an attempt to standardise IoT stacks have not nevertheless attained substantial acceptance due to introducing the issues of massive incoming details flows, have confidence in, privacy and protection, and these are prohibitive for quite a few eventualities. New resilient IoT stacks are needed to deal with the challenges at the resource. That is to allow federated de-centralised remedies, and to sustain accuracy, reduced computational and electric power consumption.
Objective
Bounce the concept of the wall and get feedback from the neighborhood. Recognize other jobs working in this domain and take a look at collaborations.
Audience
Any one working on Embedded techniques making use of Erlang with a keen curiosity on supporting details driven choice assist.
• Timecodes
00:00 – 07:01 – IoT, Machine Learning & Edge computing
07:02 – 09:29 – Wherever Does Erlang/ Elixir in shape in?
09:30 – 18:01 – A Use scenario
18:02 – 20:35 – If We Have Nx, What Else do we Need to have?
20:36 – 30:22 – QnA
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