Workshop on Open Source AI

Artificial intelligence will reach human levels by around 2029. Follow that out further to, say, 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold.” — Ray Kurzweil

Artificial intelligence promises to aid and augment humans in all facets of our life. As the decisions made by an intelligent system may have wide implications, ethical questions must be resolved as the technology development progresses. Open RD&E can help to increase the trust and reduce the risks.

In this workshop, we have a twofold goal:

  1. bring together scientists, users, and vendors to talk about open source platforms and models for artificial intelligence.
  2. discuss socially relevant use cases and challenges and how they are addressed with AI.
Registration deadline February 20th, 2019
Date 3rd, April, 2019
Venue AI lab, room 185, 1st floor, Polly Vacher, CS department, Reading University, Travel information
Contact Dr. Julian Kunkel

This workshop is sponsored by NVIDIA and powered byESiWACE 1).

The workshop is organized by

The following is a tentative agenda structure

The full-day workshop is structured into two sections, a morning and afternoon workshop session that will be a deep dive into domain challenges, platforms, and approaches to tackle these issues. We will have enough time for discussions and networking between the peers. In the evening, we will follow the traditional BCS OSSG schedule that allows employees to participate: We will have a series of talks each followed by a short Q&A.

Workshop

  • 09:30 Welcome coffee
    • AI in productionYingzhao Zhou (Oracle)
  • 12:00 lunch, sponsored by XX
  • 14:30 Coffee break
  • 17:30 Light lunch

Evening talks

  • 18:00
  • 20:00 Adjourn

Yingzhao Zhou: Ying is a hands-on business focused technology leader passionate about AI and big data. Ying is head of the AI Applications platform in Oracle. She works with Senior leadership team to develop the vision and strategy for Oracle's AI platform. She is responsible for leading multiple teams in delivering high performance AI platform in Oracle. Before Oracle, Ying has worked in both financial and telecom sectors to transform legacy systems with modern big data architecture.

1)
ESiWACE has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No 675191