In 2012, AngularJS made us think about moving business logic completely into the client-side as an actually sensible idea. Meteor give that idea two thumbs up.
In 2014, it’s time for some sobering up. The backends we built over a decade in Ruby and Python aren’t going away. New languages like Go and Hack are tantalising us with new possibilities. Our applications are increasingly distributed, often involving third party APIs. In such a scenario, where does your business logic reside?
This year’s edition spans four days, with two days of workshops and two days of conference. All days feature a single track. We invite proposals for:
- Full-length 40 minute talks
- A crisp 15-minute presentation
- Sponsored sessions, 40 minute duration
- Flash talks of 5 minutes duration. Submissions for flash talks will be accepted during the event
- Three hour workshops where everybody gets their laptop out and follows along
Criteria to submit
You must be a practising web developer or designer, and must be able to show how your own work has advanced the state of the web in the past year. You are expected to present original work that your peers — this event’s audience — recognise as being notable enough to deserve a stage.
If you are excited about someone’s work and believe it deserves wider recognition, we recommend you contact them and ask them to submit a proposal.
Voting is open to attendees who have purchased event tickets. If there is a proposal you find notable, please vote for it and leave a comment to initiate discussions. Your vote will be reflected immediately, but will be counted towards selections only if you purchase a ticket.
Proposers must submit presentation drafts as part of the selection process to ensure that the talk is in line with the original proposal, and to help the editorial panel build a strong line-up for the event.
There is only one speaker per session. Entry is free for selected speakers. HasGeek will cover your travel to and accommodation in Bangalore from anywhere in the world for speakers delivering full sessions (30 minutes or longer). As our budget is limited, we will prefer speakers from locations closer home, but will do our best to cover for anyone exceptional. If you are able to raise support for your trip, we will count that as speaker travel sponsorship.
If your proposal is not accepted, you can buy a ticket at the same rate as was available on the day you proposed. We’ll send you a code.
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 it to be available under a permissive open source license. If your software is commercially licensed or available under a combination of commercial and restrictive open source licenses (such as the various forms of the GPL), please consider picking up a sponsorship. We recognize 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.
A Neural Network is a broad term used to represent a vast collection of computational models loosely based on the biological synapses and neurons. Its history dates back to 1940s and since then the field has grown leaps and bounds. Today, Artificial Neural Networks are being widely used in Natural Language Processing, Speech Recognition, Stock Market Analysis, Signal Processing etc.
Inspite of being one of the most exciting parts of Computer Science, there is a vast gap between its research and developer community. This session will attempt at bridging that gap by skipping the non-trivial Mathematics that runs it and providing an operative understanding to the audience, that will be allow them to go ahead and experiment right away.
The session will broadly contain:
1. The type of problems a Neural Network can solve
2. Dissecting the Neural Network structure
3. Walk through of the working of a Neural Network
4. Understanding training
5. Dos and Don’ts while using Neural Networks
6. Demo containing construction of Neural Network using Brain.js
7. Resources and Examples
Inquisitive nature and a Flair for learning something new!
Name: Karthik Hebbar C
Work: Computer Scientist @ Adobe Systems
As far as Neural Networks is concerned, my run-ins with it has resulted in a couple of projects,
1. An NLP to construct a SPARQL query from the user’s search query. This acted as a core for an experimental semantic search engine.
2. A Recurrent Neural Network to predict Surface Roughness based on the operational parameters of a lathe machine.