Abstract: Despite the advancements of autonomous systems from decades of engineering, there is always the need to make them even more efficient and reliable. Machine learning holds great potential to ...

The state space explosion problem means that the state space of Petri nets (PNs) grows exponentially with PNs’ size. Even the fundamental reachability problem is still an NP-Hard problem in general.

Machine learning and its younger sibling deep learning are continuing their acceleration in terms of increasing the value of enterprise data assets across a variety of problem domains. A recent talk ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Artificial Intelligence (AI) has long ceased to be the stuff of science fiction and is now deeply embedded in our daily lives. While it's essential to understand AI's incredible capabilities, it's ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

The study introduces the concept of algorithmization to describe how organizations can be transformed into federated ...

Can you use the new M4 Mac Mini for machine learning? The field of machine learning is constantly evolving, with researchers and practitioners seeking new ways to optimize performance, efficiency, and ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

A machine learning model generated by a team from the European Society for Blood and Marrow Transplantation (EBMT) outperformed standard statistical models in identifying and stratifying transplant ...