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Rethinking Computing Architectures for Big Data and AI

Rethinking Computing Architectures for Big Data and AI

Wednesday, 23 October, 2019 (All day)

Rethinking Computing Architectures for Big Data and AI

Wednesday 23rd October 2019

10.30 - 17:00

The MAC Metropolitan Arts Centre

10 Exchange St, West, Belfast BT1 2NJ

 

There has been an explosion in the production of often complex and noisy unstructured data. Moreover, the growth in data centres and the need for increasingly complex embedded systems is creating major energy challenges.  For these reasons, there has been an increased interest in biologically inspired approaches and an emergence of new forms of computing architectures.

 

The aim of this event is to bring together stakeholders from companies, research establishments and academia (particularly Early Career Researchers), to discuss possible new forms of computing architectures to address these challenges and to allow new thinking to emerge.

 

Professor Steve Furber from the University of Manchester and Michaela Blott from Xilinx are confirmed as guest speakers and will along with other established figures, will share their understanding of emerging trends. Attendees have the opportunity to actively participate in open discussion and debate about the challenges in building next generation computing architectures. 

 

Proposals for contributions are encouraged in, but not limited to, the following areas:

  • New biologically inspired computer architectures
  • Novel memory architectures and technologies
  • Architectures for accelerating AI
  • Novel circuits and electronic design approaches that support Big Data or AI
  • Software design flows and methodologies for new Big Data or AI technologies

 

This is an eFutures event (https://efutures.ac.uk/) and further details can be found on our website. The event is free to attend and travel costs can be covered. It has been co-located with Big Data Belfast (https://www.bigdatabelfast.com/ ) on 24th October, the premier event on applying data analytics to a wide range of applications. Registration to the AI event on 23rd October will automatically include registration to the Big Data event on 24th October if requested.

 

Interested participants please REGISTER HERE where you will be asked to outline your reason for attending and give a short description of your contribution. You will also be asked if you would like to attend the Big Data event on 24th October, free of charge.

 

Prof Roger Woods, Queen’s University Belfast

Prof Kerstin Eder, University of Bristol