Bringing Academia and Industry together to talk about AI and Big Data, identifying key challenge areas for collaboration.

This event is designed to highlight the future of AI for industry. Academics and Industry Leaders will share their expertise and vision for Artificial Intelligence across disciplines and across industrial sectors. We are offering an opportunity for our world leading academics and researchers, local and international businesses to connect and engage with the University of Manchester’s Institute for Data Science and Artificial Intelligence (IDSAI).

Programme (via Zoom)

Academia Presentations

13:00-13:15 Introduction (Hujun Yin, UoM; Damien Coyle, IEEE CIS UK & Ireland)

13:15-13:30 Faculty of Science and Engineering (Wendy Flavell)

13:30-13:45 Digital Future, Pankhurst & ID Manchester (Chris Taylor)

13:45-14:00 Institute of Data Science & AI (Magnus Rattray)

14:00-14:15 Collaborative Robotics (Angelo Cangelois)

14:15-14:30 AI-Vision for Waste Reporting (Richard Hankins)

14:30-14:45 EEG AI in Healthcare (Damien Coyle)

14:45-15:00 Break

Industry Presentations

15:00-15:10 Nvidia – AI Resources, GPU Platforms (Clemence Bigot)

15:10 – 15:30 SimNet ( Sanjay Choudhry)

15:30-15:50 Microsoft – AI Supercomputing (Andrew Jones)

15:50-16:10 Google – AI and Data Analytics Solutions (Firat Tekiner)

16:10-16:30 BAE Systems – Operational Challenges & Collaborations (David Underhill)

16:30-16:50 Ainostics (Dr Maryam Atakhorrami/Dr Hojjat Azadbakht)

16:50-17:00 Wrap up

Event Objectives

• To enhance our AI, Big Data and Healthcare communities across the university and relevant industries and businesses.

• To reach out to local and national industries and business through existing and new links via real-world solution showcases, expertise in the university and IEEE CIS community, engaging more businesses to benefit from AI, Big Data and Healthcare Technology.

• To nurture existing relationships and facilitate new collaborations in AI, Big Data and Healthcare between the University, IEEE CIS and relevant industrial sector, initially through innovation feasibility projects.

• To promote the university and IEEE expertise and leadership roles in AI, Big Data and Healthcare in local, national and international industries and businesses.