Poster deadline has closed.
Scroll to bottom for template and additional instructions.
We are pleased to announce that we are now accepting poster proposals for consideration to the special add-on day within the 5th annual Ken Kennedy AI and Data Science Conference at Rice University.
The add-on day will be on Wednesday, Oct 27th and will include hands-on tutorial sessions and additional technical talks focused on Scalable and Sustainable AI: Overcoming the Wide Gap Between AI in Theory and AI in Production.
OpenAI recently noted that the computation cost of AI experimentation doubles every three and a half months. Existing solutions fail to catch up with this exponential demand. Currently, the progress in AI is limited to tasks that closely resemble existing standard benchmarks and related settings such as Imagenet. Industries routinely deal with pipelines that go beyond these traditional settings. Going beyond routine pipelines results in catastrophic degradation of either the performance or the accuracy of the AI.
In the current state, even with all the hardware, scaling convolutions neural networks on ultra-high-resolution images is prohibitive. Deep Learning for Seismic Data Processing currently only caters to datasets with toy simulated settings. Model Parallelism for training extensive neural networks is needed by almost any large data processing company. However, current solutions are prohibitively slow & nowhere near satisfactory. As a result, today, AI engineers are not designing models to solve a problem; rather, the problem is hammered to cater to well-known models. Scaling up the AI model remains the main gap between AI in theory & AI in production.
In this workshop, we will explore recent advances in designing a new generation of scalable and sustainable AI algorithms that are exponentially cheaper and can cope with future demands.
Poster submissions are open to industry, academia, and students. Visit ai-datascience.rice.edu to submit your poster proposal for the in-person poster session on Wednesday, Oct 27th. Additionally, we are requesting all poster presenters to record a 3-minute lightning presentation to be shared with virtual attendees. Please submit abstracts to the Wednesday Workshop: Posters.
Please note, presenters will need to sign the Rice University Media Release Form.
Submissions should include:
- Title of poster
- 1-2 paragraph abstract
- Authors and affiliations
- Recorded 3-minute lightning presentation in MP4 format.
- You can record your lightning talk using Zoom. Create a meeting, share screen to show your poster material, and hit the record button when ready to present. Your recording will either be saved to your computer or stored in Zoom cloud for easy access. Click here for step-by-step instruction on how to record via Zoom. See video examples here.
- Following your submission in EasyChair, email kenkennedy@rice.edu a shareable link to download your MP4 recording. Alternatively, we can email you a link to upload your recorded lightning presentation to Rice Box.
- Printed poster that is no larger than 48” by 48” (posters larger than this size will not fit the provided space).
Deadlines: Your poster title, abstract, and authors must be submitted for consideration no later than October 6 by 5:00 PM (CDT). Your submission will be reviewed within 2 business days. Accepted posters will need to submit their recorded 3-minute lightning presentation and signed media release by October 13 by 5:00 PM (CDT).
Complimentary Registration to Student Presenters: Poster presenters will need to register for the conference. The complimentary registration code will be provided to student presenters once your poster has been accepted (1 per poster). Please only register the person/people that will be attending the conference to present the poster.
Please share the call for posters with anyone that you think might be interested in submitting and/or attending the 5th Annual Ken Kennedy AI and Data Science Conference at Rice University.