Algorithm Conference

July 16 - 18, 2020

Austin, Texas

Exploring Machine Learning on the Edge

An Algorithm Conference workshop by Particle

Edge ML

Exploring Machine Learning on the Edge is the title of a workshop that will be conducted by Particle.io on Day of Algorithm Conference, that is, on July 16, 2020, at the Thompson Conference Center on The University of Texas at Austin campus.

 

Target audience: Technical project managers, CTOs and developers.

Date: July 16, 2020

 

Time: 1:30 p.m. – 5 p.m.

 

Instructors: Brandon Satrom and Jeremiah Harlan

 

Location: Room 3.108,  Thompson Conference Center, University of Texas at Austin.​

Workshop summary

Machine learning and IoT are a match made in heaven. After all, IoT devices collect mountains of sensor data. What better way to uncover insights and actions in data collected by IoT sensors than through sophisticated, modern computing methods like machine learning and artificial intelligence?

 

The problem is, due to the historically meager computing power of IoT sensors, leveraging ML with IoT has meant backhauling all your sensor data to the cloud. But when the cloud is involved, security is a concern, and in the realm of IoT, security is often a dirty word.

But with modern embedded systems, microcontrollers and single-board computers getting more powerful and sophisticated, its becoming increasingly possible to bring machine learning closer to sensors and IoT devices, that is, to the edge of the network.  So Edge ML, as the concept is known, enables quicker insights, tighter security, and even true predictive action. And it’s going to become the norm in the IoT space in the near future.

 

In this workshop, we’ll explore the state of the art in Edge ML and IoT, and demonstrate practical ways that developers can get started with both today. This also involves hands-on experience with a Particle IoT device.

What you'll learn

Workshop schedule

Session 1: Why machine learning (ML) and IoT?
Lab 1: Exploring IoT solutions with Particle.


 

Session 2: ML at the Edge with single-board computers (SBCs)
Lab 2: Building ML models for Edge inferencing
Lab 3: Inferencing on SBCs


 

Session 3: ML at the Edge with microcontrollers
Lab 4: Building ML models for microcontrollers
Lab 5: Inferencing on MCUs


 

Session 4: What’s next for ML on the Edge?

What you'll need

BYOL (Bring your own laptop)

Particle IoT hardware

We'll supply a Particle IoT device

Register

Registration for this workshop and for the conference itself is now open. You may register for one or both. The workshop has a limited number of tickets, so hurry and register if you want to guarantee yourself a seat. To reserve your ticket(s), click on that big red button.

Workshop instructors

Brandon Satrom

Brandon Satrom

Sr. Manager, Developer Relations, Particle

Brandon has over 20 years of experience as a technology professional and has worked extensively as both a software and hardware engineer across a variety of platforms, technology stacks, and industries. An avid tinkerer, explorer, and teacher, Brandon is the author of four books, including the O’Reilly series book – Building Polyfills: Web Platform APIs for the Present and Future. He has spoken at events all over the world, and is most at home when leading hands-on labs and workshops.

 

Brandon is the Sr. Manager for Developer Relations at Particle. He lives in Austin, Texas.

Jeremiah Harlan

Jeremiah Harlan

Developer Advocate, Particle

Jeremiah is a Developer Advocate at Particle. He lives in Cincinnati, OH.

Additional workshop

How to curate quality datasets for machine learning is the title of another workshop that will be conducted by a couple of machine learning engineers from Twitter during Algorithm Conference. It is recommended for developers, aspiring developers, and technical (project) managers.

Recommended activities for developers

Day 1: Workshop 1

How to curate quality datasets for machine learning

Thursday, July 16, 2020 (8 a.m. - 10 a.m.)

Day 1: Workshop 2

Exploring machine learning on the edge

Thursday, July 16, 2020 (1:30 p.m. - 5 p.m.)

Day 2 to Day 3

General conference sessions

Friday, July 17 - Saturday, July 18, 2020

Venue

All Algorithm Conference workshops will be held in Room 3.108 inside the Thompson Conference Center on the campus of the University of Texas at Austin. The address is 2405 Robert Dedman Dr., Austin, Texas 78712

All plenary conference sessions will be in the LBJ Auditorium of the LBJ Presidential Library, located at 2313 Red River St, Austin, Texas. The auditorium has a seating capacity of just under 1,000.

LBJ Auditorium
LBJ Presidential Library
University of Texas at Austin
LBJ Auditorium
LBJ Presidential Library
University of Texas at Austin
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Code of conduct

All attendees, speakers, sponsors and volunteers at our conference are required to agree with the following code of conduct. Organizers will enforce this code throughout the event. We expect cooperation from all participants to help ensure a safe environment for everybody.

 

Our conference is dedicated to providing a harassment-free conference experience for everyone.

 

Harassment includes offensive verbal comments related to gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, religion, technology choices, sexual images in public spaces, deliberate intimidation, stalking, following, harassing photography or recording, sustained disruption of talks or other events, inappropriate physical contact, and unwelcome sexual attention.

 

Participants asked to stop any harassing behavior are expected to comply immediately.

 

Sponsors are also subject to the anti-harassment policy. In particular, sponsors should not use sexualized images, activities, or other material.

 

If a participant engages in harassing behavior, the conference organizers may take any action they deem appropriate, including warning the offender or expulsion from the conference with no refund.

 

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al-Khwārizmī   ->   algoritmi  ->   algorithm