I have come across various ways of defining Artificial Neural Networks (ANNs). Many of them miss a fundamental characteristic ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

The healthcare sector is increasingly reliant on digital technologies, demonstrating a strong commitment to using advanced tools for better patient care and more efficient data management. However, ...

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...

Training an algorithm is an essential part of translating our bodies’ signals into early diagnoses. The human body constantly generates a variety of signals that can be measured from the outside with ...