It's all about AI - Promises and Challenges in Computer Vision and NLP
AI/Machine Learning
It's all about AI - Promises and Challenges in Computer Vision and NLP
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About
It's all about AI - Promises and Challenges in Computer Vision and NLP
About
This lecture explores if Artificial Intelligence (AI) is just hype or key to our digital future through live examples.
The TNG Innovation Hacking Team, experienced in computer vision and natural language processing, guides through AI's world and architecture. It includes insights into the basic structure and limitations of neural networks, using various innovation projects.
The session is enriched with live demonstrations like neural network-created art, real-time deep fakes, an NLP chatbot, and an AI generating social media comments.
Language
ENG
Level
Intermediate
Length
40 minutes
Type
conference
About the speakers
About the speakers
Thomas Endres
Managing Partner •
TNG Technology Consulting GmbH
Thomas Endres is a Managing Partner for TNG Technology Consulting in Munich. Besides his normal work for the company and the management of the customers he is creating various prototypes, he and the the Innovation Hacking Team develop various prototypes, including real-time deepfakes, or an AI for generating presentations. He works on applications in the field of AR/VR, AI, and gesture control.
Martin Förtsch
Principal Consultant •
TNG Technology Consulting GmbH
Martin Förtsch, IT consultant at TNG Technology Consulting, specializes in Agile Development, Java, and Databases. An Intel Software Innovator, he develops innovative tech-demos, including gesture-controlled quadrocopters and AR prototypes. A prominent speaker on AI, IoT, and Test Driven Development, Martin has earned accolades like the Oracle JavaOne Rockstar award.
Jonas Mayer
Senior Consultant •
TNG Technology Consulting GmbH
Jonas Mayer works in the Innovation Hacking Team of TNG Technology Consulting where his main focus lies on creating innovative showcases and prototypes in both soft- and hardware. Since 2018 he's been working on numerous projects ranging from real-time deepfakes, over mixed reality art experiences, all the way to autonomous miniature drones. Prior to joining TNG, Jonas studied Informatics: Games Engineering at TU Munich. Apart from the obvious game projects throughout the course of his studies, he focused mainly on artificial intelligence and high performance computing.
Details
Language
ENG
Level
Intermediate
Length
40 minutes
Type
conference