Embedded Engineer at Ciklum
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Join us for a tech-packed meetup featuring expert talks, hands-on insights, and a relaxed atmosphere.
Andrej Válek
Bratislava
Senior Embedded Software Engineer at Ciklum
Adrián Paníček
April,01
4:30 PM
Step into the world of IoT and Embedded Systems with Ciklum!
C++ Software Engineer at Ciklum
Patrik Vaverčák
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Yocto Development – learn how to build custom Linux distributions for embedded devices.
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WebAssembly (Wasm) – discover how the same code can run across browsers, servers, and microcontrollers like the ESP32.
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Edge AI Computing – explore how ONNX Runtime & TensorFlow Lite bring real-time AI to devices like NVIDIA Jetson and Raspberry Pi.
Three seasoned experts from our team will share their valuable insights and guide you through:
Check out the agenda and register to save a seat!
Agenda:
April 1st, 4:30 PM
Ciklum office, Obchodná 2, Bratislava
16:30 – Doors open
16:45 – Welcome speech
16:50 – Andrej Válek, ‘Small, Smaller, Embedded – Yocto development’
17:40 – Adrián Paníček, ‘WebAssembly on ESP32’
18:30 – Patrik Vaverčák, ‘Edge AI Computing: Introducing ONNX & TFLite frameworks’
19:10 – Networking & entertainment
Speakers
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Andrej Válek
Embedded Engineer at Ciklum
Small, Smaller, Embedded – Yocto development
In the world of embedded systems, efficiency and flexibility are key. This talk will introduce the Yocto Project, a powerful framework for building custom Linux distributions tailored to embedded devices. We will explore the fundamentals of Yocto, its structure, and how it enables developers to create lightweight, optimized Linux systems. A special focus will be placed on QEMU, an essential tool for embedded development and testing.
Adrián Paníček
Senior Embedded Software Engineer at Ciklum
Patrik Vaverčák
C++ Software Engineer at Ciklum
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WebAssembly on ESP32
Imagine running the same code on a web browser, a server, and even an ESP32! That’s exactly the promise of WebAssembly (Wasm). But can a tiny microcontroller really handle it?
In this talk, we’ll break down what WebAssembly is, why it’s gaining traction in embedded systems, and whether it’s just a gimmick or the future. We’ll explore lightweight Wasm runtimes, real-world use cases, and trade-offs of bringing this tech to the embedded world.
Edge AI Computing: Introducing ONNX
and TFLite frameworks
Bringing AI to the edge requires efficiency and speed. This talk introduces EdgeAI Computing, particularly focusing on ONNX Runtime & TensorFlow Lite. These frameworks facilitate efficient AI deployment on devices like NVIDIA Jetson, Raspberry Pi, smartphones, and more.
Learn key optimization techniques and see a live demo of real-time object detection on Jetson Nano. By the end of this session, you will have practical insights into optimizing and deploying neural networks on edge devices.
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