In this episode of Inspiring Computing, I chat with Filip Rak, the team leader at the Czech Aerospace Research Center. Filip tells me about his journey from engineering to leading the development of attitude and orbit control systems for satellites. We talk about the technical challenges and triumphs, like launching satellites and using MATLAB and MicroPython. Filip also shares how they took a selfie from space at their facility and how this achievement inspired future projects. He also talks about the complexity of late attitude control, using cube sats with limited resources, and their agile risk tolerance approach. The conversation highlights how advanced computing is used in aerospace and emphasizes the importance of balancing innovation with practical constraints.

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In this episode, we go deep into the tram manufacturing business with Robert Grepl more specifically, what does it take to be able to create a tram that does not crash into any infrastructure in an existing city? Have you ever wondered why there's only a couple of centimeters between the tram and the infrastructure? How do tram manufacturers and cities, figure out which obstacles to avoid, and what infrastructure needs to be built or avoided when a tram has put you into a city

Robert explains from the beginning where trams manufacturers in cities make decisions what the common tools they use and how his company, which created a simulation engine called TRAMotion helps solve this problem.

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In this episode of inspiring computing, Max shares, how he created Callr.ai an AI caller agent called Julia, and how Julia can be integrated into phone agents, transforming people's businesses, around a practical use case of AI. Not only does Julia schedule appointments and potentially replace that first line of phone calls but could be also integrated into CRMs and completely transform the way that cells and or internal requests services, HR processes are done.

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