Anthill Inside 2018
On the current state of academic research, practice and development regarding Deep Learning and Artificial Intelligence.
Jul 2018
23 Mon
24 Tue
25 Wed 08:45 AM – 05:25 PM IST
26 Thu
27 Fri
28 Sat
29 Sun
On the current state of academic research, practice and development regarding Deep Learning and Artificial Intelligence.
Jul 2018
23 Mon
24 Tue
25 Wed 08:45 AM – 05:25 PM IST
26 Thu
27 Fri
28 Sat
29 Sun
##About the conference and topics for submitting talks:
In 2016, The Fifth Elephant branched into a separate conference on Deep Learning. The Deep Learning Conference has grown in to a large community under the brand Anthill Inside.
Anthill Inside features talks, panels and Off The Record (OTR) sessions on current research, technologies and developments around Artificial Intelligence (AI) and Deep Learning. Submit proposals for talks and workshops on the following topics:
##Perks for submitting proposals:
Submitting a proposal, especially with our process, is hard work. We appreciate your effort.
We offer one conference ticket at discounted price to each proposer, and a t-shirt.
We only accept one speaker per talk. This is non-negotiable. Workshops may have more than one instructor.
In case of proposals where more than one person has been mentioned as collaborator, we offer the discounted ticket and t-shirt only to the person with who the editorial team corresponded directly during the evaluation process.
##Target audience:
We invite beginner and advanced participants from:
to participate in Anthill Inside. At the 2018 edition, tracks will be curated separately for beginner and advanced audiences.
Developer evangelists from organizations which want developers to use their APIs and technologies for deep learning and AI should participate, speak and/or sponsor Anthill Inside.
##Format:
Anthill Inside is a two-day conference with two tracks on each day. Track details will be announced with a draft schedule in February 2018.
We are accepting sessions with the following formats:
##Selection criteria:
The first filter for a proposal is whether the technology or solution you are referring to is open source or not. The following criteria apply for closed source talks:
The criteria for selecting proposals, in the order of importance, are:
No one submits the perfect proposal in the first instance. We therefore encourage you to:
Our editorial team helps potential speakers in honing their speaking skills, fine tuning and rehearsing content at least twice - before the main conference - and sharpening the focus of talks.
##How to submit a proposal (and increase your chances of getting selected):
The following guidelines will help you in submitting a proposal:
To summarize, we do not accept talks that gloss over details or try to deliver high-level knowledge without covering depth. Talks have to be backed with real insights and experiences for the content to be useful to participants.
##Passes and honorarium for speakers:
We pay an honararium of Rs. 3,000 to each speaker and workshop instructor at the end of their talk/workshop. Confirmed speakers and instructors also get a pass to the conference and networking dinner. We do not provide free passes for speakers’ colleagues and spouses.
##Travel grants for outstation speakers:
Travel grants are available for international and domestic speakers. We evaluate each case on its merits, giving preference to women, people of non-binary gender, and Africans. If you require a grant, request it when you submit your proposal in the field where you add your location. Anthill Inside is funded through ticket purchases and sponsorships; travel grant budgets vary.
##Last date for submitting proposals is: 15 April 2018.
You must submit the following details along with your proposal, or within 10 days of submission:
##Contact details:
For information about the conference, sponsorships and tickets contact support@hasgeek.com or call 7676332020. For queries on talk submissions, write to anthillinside.editorial@hasgeek.com
Hosted by
Saumya Suneja
@saumyas
Submitted Apr 15, 2018
Internet of Things(IoT) devices need to run AI algorithms which are usually associated with high data and computational costs, which is only possible with cloud servers having very powerful systems. Hence these IoT devices aren’t capable of accomplishing much at the ‘edge’ (where the IoT devices are deployed) and their ‘brains’ are located on distant cloud servers.
As we know that IoT is continuously expanding and trending towards data explosion, this is resulting in clogging up of internet bandwidth and the cloud servers.
The logical solution for this problem is to enable processing and computing data at the edge - rather than sending all sensor-generated data back to the cloud.
In this talk, I will be speaking about how to take a pre-trained neural network written in any high level modelling framework, and map it onto an embedded edge device. In our specific case, the edge device is Orlando, STMicroelectronics’ R&D prototype, an ultra-low power System-on-Chip (SoC) capable of accelerating Deep Convolutional Neural Networks algorithms.
I will be talking about the software challenges in addressing the problem of efficiently mapping a neural network algorithm on to an edge device which has constraints in terms of energy, memory and power.
The key takeaway for the audience would be to understand what happens behind the scenes if they want to port any neural network application on an embedded platform.
•Introduction: Future of IoT, the need for edge computing
•ANN complexity and its evolution
•Brief architecture description of ST’s NN SOC R&D prototype (Orlando)
•Challenges in embedded platforms:
o No dedicated floating point units
o Limited amount of memory
•Approach to overcome these challenges and port NN applications to embedded devices (which I will cover in detail)
o Mapping floating to fixed point data representation
o Data compression and quantization techniques
•Case study: I will share steps of porting on Orlando alongwith the performance and accuracy figures.
ML basics
I am working as a Technical Leader in the Advanced Systems Technology Group at STMicroelectronics. I’m interested in the field of computer vision and deep learning. Currently I’m working on development of an automated tool for optimization, porting and mapping of neural networks onto a NN SoC (Orlando).
https://drive.google.com/open?id=107fD6pOR9cDiAJYqa193SbusJEF_a-Rt
Jul 2018
23 Mon
24 Tue
25 Wed 08:45 AM – 05:25 PM IST
26 Thu
27 Fri
28 Sat
29 Sun
Hosted by
{{ gettext('Login to leave a comment') }}
{{ gettext('Post a comment…') }}{{ errorMsg }}
{{ gettext('No comments posted yet') }}