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Save Your SpotTogether with BOSCH we invite you to a full day of learning more about the intersection of mobility and code. Get to know more about how modern mobility is defined by an intricate interplay of hardware and software and how cars are not only connected to the road, but also to the cloud.
Coding the Future of Mobility features a variety of talks and a workshop, that give you valuable insights into the world of mobility - wether you join in-person or online.
Together with Bosch we invite you to a full day of learning more about the intersection of mobility and code. Get to know more about how modern mobility is defined by an intricate interplay of hardware and software and how cars are not only connected to the road, but also to the cloud.
Coding the Future of Mobility features a variety of talks and a workshop, that give you valuable insights into the world of mobility - wether you join in-person or online.
When your machine learning models work in sensitive areas like loan application prediction, you better be sure that they work correctly and you are alerted in real-time if there is an issue.
But how?
We will walk you through a real use case and:
Lina has 9+ years of industry experience in developing scalable machine learning models and bringing them into production. She currently works as the Machine Learning Lead Engineer in the data science group of German online bank DKB. She previously worked at Zalando, one of Europe’s biggest online fashion retailers, where she developed real-time, deep learning personalization models for more than 32M users.
Do you want to detect the license plate of a car? Or if people are wearing their masks? Nowadays, these are typical examples of object detection and image classification which are easy in theory, but what about the actual deployment? There are many options from the Edge to the Cloud how you could do that. Let me show you the simplest and do even a comparison when it comes to the platform question.
I will use Cloud-managed Cisco Meraki IP cameras together with SaaS computer vision platforms from AWS, Azure and GCP, to showcase the simple deployment, possible integrations with APIs & MQTT and its whole architecture as well as outcomes.
Florian (or Flo) is a Developer Advocate at Cisco DevNet focusing on IoT, machine learning and network programmability. With a software and networking background he has been working since a couple of years on many IoT and programmability projects. He is the most passionate about connecting things and getting information out of data in any way possible. In his current role, he is working on awesome showcases with Cisco technologies and providing lots of learning content for the developer community.
What to say about this exceptional young person? She is a true Wunderkind! Alex developed an interest for science, programming, physics and chemistry since the early age of 12. Today, at the age of only 19, she already holds a Bachelor degree with distinction from the Technological University Dublin and is widely considered as one of the great generational talents. She was part of various programs at the MIT, CERN and IBM. She has received various honors and accolades and besides studying Molecular Medicine she also speaks regularly about Quantum Computing and Machine Learning at international conferences.
Targeted protein degradation has been one of the merging technologies to solve uncurable diseases like Alzheimers, Huntingtons etc. The problem is that the process of this biotechnology in labs is very long and expensive. Automating this insilico (with computers) and machine learning is a challenge we at Celeris Therapeutics are tackling. Doing research in chemistry, biology and machine learning is how we are solving this problem. Our main component is the emerging field of ML called geometric deep learning. Graphs are native way to represent atom and molekular interactions, but given that the space of possible compounds is huge this becomes a big engineering problem. And thats what we are trying to unite at Celeris, biotechnology, engineering and machine learning.
Trained mathematician with multiple years of researching and deploying ML solutions in the cloud. Lecturer at FH Vienna and a Kaggle Grandmaster. Currently tackling undruggable diseases as CTO at Celeris Therapeutics.