The School of Chemical Engineering (CHEM School) is one of the six schools of Aalto University. It combines natural sciences and engineering in a unique way. We are now looking for: ...

Researchers at Tohoku University used machine learning potential to create large-scale models of tin (Sn) catalysts under ...

Image processing has emerged as a crucial technology in agriculture, facilitating tasks such as crop monitoring, disease detection, and yield estimation. Python, with its extensive libraries and tools ...

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...

It's a light-weight pandas -based machine learning framework pluggable with existing python machine learning and statistics tools (scikit-learn, rpy2, etc.). Ramp provides a simple, declarative syntax ...

Anomalies could be the threats to the network that have ever/never happened. To protect networks against malicious access is always challenging even though it has been studied for a long time. Due to ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

Super useful for keeping things organized. Let’s get into it. Harnessing Pre-installed Python Libraries in Google Colab Google Colab is ready to roll with a ton of pre-installed Python libraries, ...

More information: Zhenghao Yin et al, Experimental quantum-enhanced kernel-based machine learning on a photonic processor, Nature Photonics (2025). DOI: 10.1038/s41566-025-01682-5 ...