# Intro

In the first part of the show, he shares his experience on the importance of good MLOps practices and the importance of cloud solutions for the development of AI products at scale. 

In the second part, we talk about the core technology that Celeris has developed to solve the problem of finding candidates for targeted protein degradation. Noah explains the problem they are solving from a computational perspective and we discuss how they use Bayesian optimization to evaluate and rank candidates in silico, reducing the costs and time for drug discovery.

# References

Taylor Peer is currently working as the Director of Data Science at Cortical.io, a Viennese AI company developing business solutions for information extraction and processing using Natural Language Understanding.

On the show we are talking about Semantic Folding, the core technology developed by Cortical.io that is enabling all their business products, and how the company evolved from a technology provider to a solution provider, and the challenges of integration data driven AI solutions at customers.

# References

Taylor Peer - www.linkedin.com/in/taylorpeer/

Cotical.io - www.cortical.io/

White paper on Semantic Folding - www.cortical.io/static/downloads/semantic-folding-theory-white-paper.pdf

# Intro

Jelena Milosevic is currently working as a Data Scientist focusing on the application of machine learning in embedded devices in industrial settings.

# References

Jelena Milosevic - https://www.linkedin.com/in/milosevicjelena/

Paper: Time, accuracy and power consumption tradeoff in mobile malware detection systems - https://doi.org/10.1016/j.cose.2019.01.001

# Intro

Marco Mondelli is a group leader at the IST Austrian, focusing on theoretical machine learning and in particular on properties and behaviour of gradient descent methods when used to train overparameterized deep neural networks.

In this interview Marco describes his reasons to start a theoretical machine learning research Group at the IST Austria and several aspects of the IST PhD program.

In the second part of the interview we discuss the research done in his groups and recent publications investigating the reasons behind the efficiency of gradient descent algorithms in optimising deep neural networks.

# References

Marco Mondelli - http://marcomondelli.com/

Mondelli group at IST: https://ist.ac.at/en/research/mondelli-group/

Mean-field particle methods: https://en.wikipedia.org/wiki/Mean-field_particle_methods

Landscape connectivity and dropout stability of SGD solutions for overparameterized neural networks : https://research-explorer.app.ist.ac.at/record/9198

# Interview Timings

03:30 Personal intro & career development

15:47 The Mondelli research group at the IST

32:00 Main research focus

39:00 Recent Publication on the connectivity of loss landscape

56:00 Future research interests

Julia is a researcher in the E-Commerce Group at the TU Vienna, focusing on the analysis of social networks.

In the first part of the interview, Julia will describe the motivations and possibilities of performing network analysis on social networks. She will give examples of such analysis from the literature, as well as from her own research.

In the second part of the interview, Julia will talk about the digital humanism initiative. A international collaboration of scholars, policy makers and industrial players with the goal to ensure that the digital transformation of our society is aligned with our human centered interests.

# References

Julia Neidhardt : https://informatics.tuwien.ac.at/people/julia-neidhardt

Digital Humanism Initiative : https://dighum.ec.tuwien.ac.at/

Summary

Rania has a background in theoretical mathematics and has focused her work in recent years as a Data Scientists on natural language understanding and social media monitoring.

Today on the show she will share her experience of organising Data4Good, an NGO organisation that is bringing together DataScientists and other NGO's on a voluntary bases in order to support different social projects.

During the second part of the interview, Rania will describe the ongoing efforts by women in AI Austria, to discuss and improve future European AI regulations. She describes what options individual and small organisations have to change international regulations on topics of AI and digitalisation in order to build a better future.

References

Summary

Christoph is the Chief Operation Officer and one of the co-founders of Image Biopsy Labs. IB Labs, is a Viennese startup that is developing a modular AI platform to accelerate the work of radiologists ensuring high precision, transparency and control.

On the interview, Christoph is sharing his experience on the most important aspects of creating an AI startup for safety critical applications. What stages such a startup has to pass in order to be successful, and some of the biggest challenges that it needs to overcome.

References

Christoph Götz : https://www.linkedin.com/in/chgtz/

Private Homepage http://www.christophgoetz.com/

Image biopsy lab : https://imagebiopsy.com/

Best new radiology vendor (bottom of page) : https://www.auntminnieeurope.com/index.aspx?sec=sup&sub=cto&pag=dis&ItemID=619843

Michael Freeman Award 2021 (third tab) : https://vec.efort.org/awards-winners-2021#t3 

Product Demo : https://www.youtube.com/watch?v=MZ7MRLjB_QI&feature=emb_title

INiTS : http://www.inits.at/

Summary

In this episode, Linda Anderson a computational Linguistic by training and founder of the AI startup "Artificial Researcher" is talking about the history and challenges of domain specific text mining.

We are discussing why many of the typical DL driven approaches fail on domain specific text mining applications and how her company "Artificial Researcher" is coping with those challenges.

References

In this episode, Frank is sharing his experience in teaching about AI over the years at different institutions to students from all backgrounds, ranging from businesses focused questions about digitalisation to CEO's, or guiding domain experts in their first experiences in areas of data science, to software developers about the implementation of ML algorithms and methods.

In the second part of the interview, we discuss the challenges and opportunities of the digital transformation for universities, and the role of AI for the future of education.

References:

Frank Benda : https://www.linkedin.com/in/frank-benda-phd-36a268147/

POBS: Private online business school - https://dba-fernstudium.eu/

MIT Technology Report: https://www.technologyreview.com/2019/08/02/131198/china-squirrel-has-started-a-grand-experiment-in-ai-education-it-could-reshape-how-the/

Squirrel AI : http://squirrelai.com/

Publications : https://link.springer.com/article/10.1007/s00291-019-00567-8

What kind of AI related services does azure cloud offer? What are some common reasons companies move into the cloud, and what are common first mistakes that companies encounter? 

If those are questions that interest you, then the first part of the interview is for you!

In the second part of the interview, Sanja talks about the global initiative "Women in AI" that she as the Vienna Lead is supporting in order to help women in the field of AI to connect, support each other and increase the representation of female role models in tech.

Don't miss it!

References:

Sanja Jovanovic: https://www.linkedin.com/in/sanja-jovanovic/

Women in AI: https://www.womeninai.co/