Fragments 2017

Fragments 2017

A conference on the mobile ecosystem in India

About Fragments:

Fragments is a two-day, single track conference on the mobile ecosystem in India. The conference will feature talks – full-length and crisp – panel discussions, and Off-The-Record (OTR) sessions.

We are looking for proposals in the following topics:

  1. Modern Development Practices

    • How are modern development teams structured?
    • How do you achieve cross platform design/feature parity?
    • How do your collaboration, decision making, and development processes adapt to accommodate cross platform teams?
  2. Continuous Integration/Continuous Delivery

    • How is your CI/CD pipeline designed to allow you to test, build and deploy to multiple platforms (Android,iOS,Web) simultaneously?
  3. Design

    • What tools and processes to designers follow when they have to design for multiple platforms simultaneously, given that each platform as it’s own guidelines/styles?
  4. Localisation and Accessibility

    • How do you handle localization and accessibility in modern mobile apps?
  5. Progressive Web Apps

    • Are progressive web apps the way forward?
    • Are progressive web apps a better way to solve cross platform development? What’s their future?
  6. On the ground case studies

    • Talks on how companies have changed their development workflows, processes, teams, app architecture, and tooling over time.
  7. Platform specific talks

    • We are also open to platform specific technology talks that are novel in their content or approach.

Commitment to open source

HasGeek believes in open source as the binding force of our community. If you are describing a codebase for developers to work with, we’d like for it to be available under a permissive open source licence. If your software is commercially licensed or available under a combination of commercial and restrictive open source licences (such as the various forms of the GPL), please consider picking up a sponsorship. We recognise that there are valid reasons for commercial licensing, but ask that you support us in return for giving you an audience. Your session will be marked on the schedule as a “sponsored session”.

Selection process

Proposals will be filtered and shortlisted by an Editorial Panel.

Make sure to add links to videos / slide decks when submitting proposals. We will not review proposals without detailed outlines or slide decks and preview videos.

The first filter for every proposal is whether the technology or solution you are referring to is open source or not. If you are referring to a proprietary technology, consider picking up a sponsored session.

The criteria for selecting proposals, in the order of importance, are:

  1. Key insight or takeaway: what can you share with participants that will help them in their work and in thinking about the problem?
  2. Structure of the talk and flow of content: a detailed outline helps us understand the focus of the talk, and the clarity of your thought process.
  3. Ability to communicate succinctly, and how you engage with the audience. You must submit link to a two-minute preview video explaining what your talk is about, and what is the key takeaway for the audience.

No one submits the perfect proposal in the first instance. We therefore encourage you to:

  1. Submit your proposal early so that we have more time to iterate if the proposal has potential.
  2. Talk to us on our community Slack channel: https://friends.hasgeek.com if you want to discuss an idea for your proposal, and need help / advice on how to structure it.

Our editorial team also helps potential speakers in honing their speaking skills, and rehearsing at least twice - before the main conference - to sharpen the focus of talks.

Passes and honararium for selected speakers:

A speaker is NOT confirmed a slot unless we explicitly mention so in an email or over any other medium of communication.

Selected speakers get a pass to the conference and networking dinner. We do not provide free passes for speakers’ colleagues and spouses.

We also pay an honararium of Rs. 5,000 to each speaker, at the end of their talk.

Travel grants for outstation speakers:

Fragments 2017 is funded through ticket purchases and sponsorships.
We try to provide full or partial travel grants for at least two international and two domestic speakers.
First preference in awarding grants is given to women speakers, persons of non-binary genders, and speakers from Africa. If you require a travel grant, indicate this in the field where you add your location.

Important dates:

Deadline for submitting proposals: 30 July, 2017

Conference date: 12-13 Sept, 2017

Contact

For more information about speaking proposals, contact fragments.editorial@hasgeek.com.
For tickets and sponsorships, contact info@hasgeek.com or call +91-7676332020.

Hosted by

How do you make a great mobile experience? Explore with Fragments. Follow Fragments on Twitter more

A Naveen Kumar

@4nonymou5

Running Deep Learning Models on Mobile with optimised speed

Submitted Aug 18, 2017

The ability to train the task specific deep learning models is very easy these
days, with the wide range of available libraries and documentation around it. But,
the difficulty lies in bringing it to production ready mode. Especially, if the
application concentrates on Mobile platform.
Though there are existing wrappers of certain libraries to make them work, but,
as of now, they are slow and use up almost the entire memory space of the
phone.
In this talk, I would like to explain, what can be done to make things faster and
how to make models with reduced size. The aim of this talk is to provide insights
on what would be the difficulties which lie ahead and how to build your own
libraries in both iOS and Android.

Outline

What is Deep Learning ?
5 mins, introduction and explanation

What are the difficulties faced to push them into mobile production ?
10 minutes

How to solve it in IOS ?
5 minutes

How to solve it in Android ?
5-10 minutes

Conclusion
5 minutes

Requirements

Basic understanding of AI and their usage

Speaker bio

I am a member of the data science team at
Semantics3 - building data-powered software for ecommerce-focused companies. Over the years, I have had the chance to work
on various aspects of Deep Learning, one such scenario was running the models
on mobile. We made an app named Flo, which got featured by Apple on their
twitter page for using AI and their framework to make it run faster.

Links

Slides

https://docs.google.com/presentation/d/e/2PACX-1vSUga_8ZSly2laX86lEKxWTheDn6CHsZ96zb1ZMxQXCH1yj-NYhPQ7hT1ASomFcJIepy93vw4IOeTWw/pub?start=false&loop=false&delayms=3000

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Hosted by

How do you make a great mobile experience? Explore with Fragments. Follow Fragments on Twitter more