AI Lunch Talk

AI Lunch Talk


22. sep 2022 12:00 - 13:00


DTU Skylab

AI Lunch Talk

Lunch Talks are where industry meets academia around the themes of Society, Technology and Business. This semester, we are proud to present several talks around the theme of applied AI with industry experts sharing their insights and perspectives.

Sign Up Here

AI will drive audio into the next era.

When humans interact socially via speech, our brains do an extraordinary job converting pressure waves into neural encodings of phonemes, words, sentences and concepts that we can make sense of, reflect on, and respond to. Sometimes, the challenge is too hard, like if you are in a noisy party and head for the dance floor because it just feels too tiring to have a conversation. 

Or you are in a video conference and struggle to keep focus on what the person in front of you is saying.

Augmented hearing is setting out to bring the ideal sound scene to you at all times. Just like when your smartphone camera enables you to take beautiful photos by blurring the background, making the subject even more clear and vivid, or ensuring that the sky is alway clear blue and the sunset has those intense pink and orange colours. This is enabled via AI. For good reasons, AI tools are rarely applied to your audio scenes. Bridging AI with neuro science and audio insights, we envision a future where people can have clear and fluent conversations without being unnecessarily drained from poor audio conditions. 

 Mette L. Vestergaard Carstensen

graduated from DTU as M.Sc. Biomedical Engineering in 2017. Specialised in ML, DSP and Auditory Signal processing, generally focused on signals from and functional images of the brain. Worked with Digital Transformation for McKinsey & Co, and subsequently with developing audiological algorithms for hearing aids at Demant. Genuinely passionate about bringing technology to improve people’s lives.

Michael Kai Petersen

With a background in the research field of Natural Language Processing from DTU Compute and having worked as a Senior Scientist at Demant and now being affiliated with DTU Entrepreneurship, Michael’s force is to spot trends and new opportunities in combining AI with various domains in order to reinvent value chains.

Martin Bergmann

With 23+ years of experience in the hearing healthcare industry, Martin has solid experience in bringing state-of-the-art software technology from concept state into viable products, pushing the limits of what is technically feasible.



How can AI/ML help to make best use of the worlds agricultural resources?

At FOSS our mission is to provide data and insights to help the food industry make optimal use of raw materials and reduce food waste. In this presentation we will share insight on the journey we are on to apply data science and machine learning to address some of the big challenges the world is facing. It is a journey full of possibilities, but also a journey which emphasizes a range of practical challenges that needs to be addressed to apply data science to support a truly data driven food production system.

Toke Lund-Hansen

has a background in physics and computer science and holds a Ph.D. from the Technical University of Denmark. He has been working for FOSS during two periods initially from 2011 developing technology for X-ray and spectroscopy instruments. After a few years in a start-up, he now manages a team of specialist developing our spectroscopic, x-ray, and vision technologies and their integration in FOSS’ products. Lately, with a strong focus on vision and AI.

VP for frontend Innovation, Thomas Nikolajsen,

holds a Ph.D in Optical Science from DTU. Since then he has worked with innovation in industry and various startups with focus on how to apply new technology to address key problems associated with sustainable food production. He has been with FOSS since 2020 heading a cross discipline innovation team responsible for scoping the development of the company's future solution.