Heartbeat Contributor Program: Announcing new content topics

Our continued focus on mobile machine learning, plus an exploration of AI+AR on mobile

Over the past 3 years, our incredible community of contributing writers, developers, and creators have helped us explore the foundations of machine learning, mobile development, and where these two areas of tech intersect.

To date, we’ve published work from more than 150 individual contributors from over a dozen countries around the world — those voices have helped build an incredible library of foundational blog posts and articles that offer both beginners and seasoned developers educational resources, industry insights, research reviews, and much more.

But as all things grow, they must evolve. In these 3 years, we’ve seen the mobile machine learning ecosystem grow in interesting and unexpected ways — our work is to both follow and lead that growth.

This is why we’re entering a new — but also familiar — era of the Heartbeat publication, with our focused shifting to the following content areas:

  1. Mobile Machine Learning: We’ll continue leading the way and publishing the best content focused on native mobile ML. This means all things ML on iOS and Android — tutorials, explainers, research reviews — all fair game as long as the focus is explicitly on mobile use cases for machine learning.
  2. AI + Augmented Reality (on mobile): SnapML in Lens Studio is the newest player in the mobile ML game, and we’re super excited about its potential. More broadly, about the potential of AR mobile platforms to deliver ML-powered experiences. As such, we’re looking to explore these AR platforms in more depth—and particularly social platforms that have opened up AR development to a broad range of creators, designers, and more. We’re interested in your best tutorials, glossaries, explainers, interviews, case studies and more. While content centered on SnapML is ideal, we’re also looking for more general Lens Studio (Snapchat) and SparkAR (Instagram) content, as well.

Unfortunately, this also means we’ll no longer be accepting content submissions focused on general machine learning topics (cloud-based, server-side, non-mobile edge devices), or general mobile development topics. We realize this means that some of our current contributing writers might no longer find Heartbeat a suitable home for their writing.

But as difficult as this decision is for us to make, we also know that, as we make this change, we’ve become one of many, not one of few. There’s a robust market of contributor-focused publications to explore for new opportunities. Here are a few:

What else do I need to know?

Beyond the changes to the content types, here are a few things to keep in mind:

  • Any current or forthcoming drafts accepted by our editorial team will be published as scheduled, and payment will be processed as delineated in your Content Licensing Agreement
  • For all new content, we’ll continue to offer full editorial support and payment for contributor blog content.
  • All previously published content will remain part of the Heartbeat library — if you’re a contributing writer who has any concerns about this, please reach out and let us know.

Additionally, many of our policies, publication timelines, and editorial processes will remain the same. For a full look at those, along with information about contributing, check out the full call for contributors:

We deeply appreciate all the work our community of contributors have put into building this publication with their incredible explainers, tutorials, and guides. We’re incredibly excited for what lies ahead, and we hope you’ll join us for the ride.

Sincerely,

Austin, Emilie, & the Heartbeat team

Fritz

Our team has been at the forefront of Artificial Intelligence and Machine Learning research for more than 15 years and we're using our collective intelligence to help others learn, understand and grow using these new technologies in ethical and sustainable ways.

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