Abstract: Autonomous program code generation by machine learning is not only an ultimate goal but also a theoretical challenge to software science and engineering. A methodology and case study for ...

Materials of the paper F. Wilhelmi, S. Szott, K. Kosek-Szott and B. Bellalta, "Machine Learning and Wi-Fi: Unveiling the Path Toward AI/ML-Native IEEE 802.11 Networks ...

It is hard to imagine anything more fascinating than automated systems that improve their own performance. The study of learning from data is commercially and scientifically important. This course is ...

Cardiovascular diseases (CVDs) are a leading cause of death worldwide, with hypertension emerging as a significant risk factor. Early detection and treatment of hypertension can significantly reduce ...

Abstract: The use of FPGA has brought a new dimension to classroom activities. One can configure a system-on-chip (SoC) to boot Linux or use it as platform to launch Simulink logic models. At ...

Federated learning (FL) is an emerging paradigm that enables multiple devices to collaborate in training machine learning (ML) models without having to share their possibly private data. FL requires a ...