Machines of the future are not intended to replace humans, but to support them. The goal here is to combine the respective strengths of humans and machines. Intelligent machines can relieve humans of strenuous, dangerous and monotonous work and make production processes more efficient, flexible, sustainable and resilient.
In technical terms, it involves linking sensor data, physical-mathematical models and data analysis with the aid of artificial intelligence (AI). Autonomous machines are thus enabled to recognize their environment, react to their surroundings and make decisions about what to do next.
As part of the Berlin Science Week, the panel discussion aims to provide answers to how and intelligent machines can help meet future challenges, such as resource conservation, climate protection or labor shortages.
Prof. DI Dr. Andreas Kugi - Austrian Institute of Technology & TU Vienna
Prof. Dr. Manfred Tschelegi - Austrian Institute of Technology & University of Salzburg
Prof.in Dr.in-Ing.in Lydia Kaiser - ECDF & Technical University Berlin
Prof. Matthias Scheutz Ph.D. - Tufts University
Prof.in Dr.in Elisabeth André - University of Augsburg
Dr. Johannes Winter - L3S Research Center
PUBLIC DISCUSSION DIGITAL AND ON-SITE AT THE EINSTEIN CENTER DIGITAL FUTURE. PLEASE REGISTER.
This event will take place in person. If you would like to attend the event in person, please register by email to michaela.pavlovic(at)ait.ac.at by 04 November 2022 at the latest.
Please observe the Corona regulations in force on the day of the event.
For those who can't be there live, there will be a livestream: https://ait.weblive.events/