The experience on the PDP 11 on where UNIX was born and the Convex(Cray1) supercomputer inoculated us with the ever-living virus of computing on the basis of which we tried to turn on the light in some dark but promising spaces.
The disappearance of massive PDP/Cray-class machines gave rise to millions of small, affordable embedded Linux devices available to anyone.
Smartphones, Raspberry Pi boards and microcontrollers with sensors and actuators now form the backbone of the global IoT universe.
The explosion of online knowledge paved the way for Edge AI and TinyML. With TensorFlow and Keras, cloud-trained models now run on minimal devices powered by harvested environmental energy.
Our approach is simple: learning by doing. Hundreds of students have transformed theoretical concepts into working prototypes, gaining real-world skills and earning top international awards, including the Microsoft Imagine Cup (USA), Freescale/NXP Intelligent Car Racing (USA and Germany).
We focus on technologies that matter: Raspberry Pi and Pico based on ARM CPU for prototyping using Python/micro, Infineon MCUs with DAVE for industrial applications and Hailo + TensorFlow for Edge AI and TinYML enabling intelligence on low-power, resource-constrained devices.
Our mission is to provide students with an understanding of the role computation can play in solving real problems using experiments as training vectors.
Learning by doing is the right way to go if you want to receive and distribute light
and chatGPT is a tireless mentor, always available.