As our generation is facing multiple crisis and challenges, we are heading towards a future of addressing problems with AI based solutions. In our AI Startup Rising Master Class we want to share knowledge, skills and experiences to tackle such challenges and apply AI methods (e.g. ML, DL, NLP, Computer Vision and more) with meaningful impact.
Through this weekly online-course we will approach a specific challenge each, detect a solution approach and reflect on potential AI contributions. Each session is supported by a startup or solution provider and coaches for reflection and development. In our Master Classes you will meet a community of problem-solvers and solution-driven thinkers, fostering collaborative learning and idea exchange. Furthermore you will deepen your understanding of AI methods and get a certificate achieving more than 60% participation. If you generate new ideas yourself or within a team and we will help you progress with individual coaching and with our AISR program modules.
Starting November 13, 2023 every Monday online from 5:00 p.m. to 6:30 p.m., semester-long through February 17, 2024. You can join at any time with no prior knowledge.
We meet virtually via Zoom. You will receive the Zoom link after registration.
Participation in the Master Classes is free of charge.
The Master Classes are open for everyone whether bachelor, master, doctoral students, phds from Hessian universities as well as founders and professionals of startups or companies from Hessian and beyond.
Most of the Master Classes will be held in German, some will be in English. If you understand German but don’t feel comfortable speaking, you are always invited to join. We can discuss your questions and comments also in English.
13.11.23 | Introduction – The Challenge of creating AI-Solutions with Impact. In our introductory session we will introduce a process-design of applying AI methods on relevant problems and how to develop relevant solutions. This session is supported by Scieneers GmbH and D-Hive GmbH.
20.11.23 | Cybersecurity and Crime Digital systems are the backbone of nearly all societal systems that need to be protected against criminal intentions, whereas the amount of cybercrime attacks, damages and their severity are rising. The challenge spans around preventing, tackling and tracing cyberattacks applying Ai-methods, also for crime investigation. The cybersecurity and crime session will be supported by Tobias Wirth, Senior Consultant at Deutsches Forschungszentrum für Künstliche Intelligenz, Lukas Baumann, founder of LocateRisk, Thien Ngyun, founder of DIOT and Michael Best, expert for forensics and IT security.
27.11.23 | The Challenge of a building future-proof is relevant in many dimensions. The way we plan and build houses causes about 30% of global GHG emissions and needs to be redesigned starting from sustainable building materials to efficient building structures. The session is supported by Florian Fesch, founder of Emidat, who aim to bring climate intelligence in construction industry, and the startups Alcemy and Surap
04.12.23 | Biodiversity and AI The challenge of preserving and nurturing ecosystems is of fundamental relevance for coping biodiversity loss and to avoid over-consumption or depletion. How Ai methods can support monitoring our ecosystems is the subject of this session. The session is supported by Christoph Scholz, researcher at Fraunhofer IEE, Stefan Kahl from TU Chemnitz. Marc Neumann from Birdmapper and researchers from the University of Marburg.
11.12.23 | Medical Services and Health Care can benefit from innovative AI-based solutions. Diagnostic System that are more accurate, monitored steadily, predictive, supportive and comprehensive can optimize treatments and prevent as reduce follow-up causes and costs. This challenge of innovative health monitoring + predictive healthcare applications with AI is supported by Gestaltmatcher, Floy, Cardio IQ and Prof. Christin Seifert from the University of Marburg.
18.12.23 | Energy transition and AI The challenge of realising the energy transition is related to increasing renewable production, by smartly balancing demand- and production-side, by gaining higher efficiency and reducing emissions. Ai-methods can contribute to these energy and emission management processes in many ways. The session is supported by Envelio, Frequenz, I3D, Ökovision, Etalytics.
15.01.24 | Challenge: Design Processes and Manufacturing Can we design and produce better products with AI methods? The session is supported by Hyperganic and Creaition, Marie Weedermann, founder of fabrics and Max Stein, designer and founder of Pacelo.
22.01.24 | Challenge: View from above – can geobased information systems with AI generate better insights? The session is supported by Sergej Sukhanov, founder of Flypix and founders from Geoengine and CoraMaps.
29.01.24 | Challenge: Accessible living spaces – Prop-Tech supported by Immoscope, Syte, Caala
05.02.24 | Challenge: Electronics and supply chain supported by Celus, Lubis Eda, Luminovo, resourcify
12.02.24 | Challenge: To go where no one went before – Robotics supported by Wingcopter, Energy, Robotics, World Food Programme (Accelerator) Disaster + Risk Mgt.
17.02.24 | Open Innovation Lab: ideation process with coaching Interactive Session about ideas and use-cases and how to apply AI methods.
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Stefan Rötzel has a background in design with a focus on system design and practices systemic design and innovation management as a consultant and coach at Science Park Kassel. With 15 years of experience in knowledge and technology transfer, he works in the area of conflict between research and application and has already supported over 600 innovation and transformation projects here. With his expertise he advises from development to validation of products, processes, business models. As a partner of AI Startup Rising he is responsible for the organization and moderation of the master classes and coaches/advises on innovative products, systems, business models.
“We make ideas successful, i.e. we use supporting processes, methods and skills in such a way that it systematically increases the probability of success of innovative ideas. To do this, we rely on profound methods, open innovation processes and collaborative learning.”
Julian Werner is an enthusiastic developer of digital, analogue or hybrid products and worked in several startups.
He is currently involved in some LLM projects and experimenting with generative AI methods.
Dr. André Knie is an experimental physicist by background, entrepreneur, digitalization and new work adventist and sees himself as a “sensor sommelier”.
Sensor technology, conception, product development, project planning, design thinking, new work and project implementation are André’s main areas of work. He likes to ask uncomfortable why questions and always has our clients’ customers in mind. Once the goal is clear, work is done on the concept and implementation. Most of the time, however, André is sharpening the goal together with the client and analyzing the problem
“Digitization and new work are what drive me. For every product or process, I first think about what can be automated so that people no longer have to spend time on unnecessary activities, but can be as creative as possible.”
Dr.-Ing. Alexander Schrodt is a measurement and control engineer by background, an entrepreneur, an expert in data science and machine learning, and considers himself a “data tamer.”
Interpreting data to extract knowledge has long been a focus of Alex’s. To do this, he uses a variety of machine learning methods combined with his knowledge of systems theory. Conveying knowledge to empower the counterpart is just as important to him as the efficient application of the latest research findings.
“Incorporating knowledge from data into products and processes to help my customers is my focus. In doing so, I have two goals: To impart knowledge and to create smart, efficient products.”
AI Startup Rising manages the startup activities of hessian.AI, the Hessian Center for Artificial Intelligence. The goal is to bundle and expand existing competencies in Hessen and to build an internationally visible AI innovation ecosystem that understands the region’s cutting-edge AI research as a source of sustainable high-tech and deep-tech startups, produces successful startups, and acts as a point of attraction for talent, investors, and companies.