When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

Modern networks have outgrown reactive planning. With 5G and rising traffic, manual analysis and legacy models can’t keep up ...

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 ...

Shape Memory Alloys (SMAs) have emerged as critical components in the field of robotics, offering compact and ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Unlike other industries, healthcare generates not only numerical and categorical data but also large volumes of unstructured ...

Two important architectures are Artificial Neural Networks and Long Short-Term Memory networks. LSTM networks are especially useful for financial applications because they are designed to work with ...

Winterthur, ZH – December 03, 2025 – PRESSADVANTAGE – netpulse AG, a Swiss digital marketing agency, has implemented advanced ...