The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

The quest to translate animal communication has entered a groundbreaking new phase. AI researchers are now developing ...

AI-based analytics form the most impactful pillar in the model, enabling digital twins to conduct pattern recognition, demand ...

A graphene sensor trained by machine learning can now taste like a human, identifying both basic and complex flavors with ...

ABSTRACT: This study presents a comparative analysis of machine learning models for threat detection in Internet of Things (IoT) devices using the CICIoT2023 dataset. We evaluate Logistic Regression, ...

A vital issue faced by the distribution network is the occurrence of unintentional islanding. The failure to identify unintentional islanding results in significant implications for both the power ...

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts.

Article citations More>> Bishop, C.M. (2020) Pattern Recognition and Machine Learning. Springer. has been cited by the following article: TITLE: AI Innovation for Renewable Energy and Environmental ...