EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses machine learning to gain meaningful insights from complex biological data.

As communications and data volumes surge, compliance teams face challenges in maintaining oversight and meeting evolving regulations. This demands a shift toward proactive, predictive, and scalable ...

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

Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce personalized content following specific inputs or instructions. While image ...

What AI can actually accomplish today remains murky—pattern recognition ... through machine partnership. These principles—maintain human control, foster collaboration over replacement, target domains ...

No previous knowledge of pattern recognition or machine learning concepts is assumed. This is the first machine learning textbook to include a comprehensive coverage of recent developments such as ...

These findings highlight the trade-off between detection granularity and accuracy in IoT security implementations and suggest hierarchical classification approaches for resource-constrained ...

Find out more about Five examples of machine learning, don't miss it.

Partial Discharge (PD) defect type analysis is important for evaluating insulation performance. A machine learning feature extraction algorithm is presented for AC PD pattern data collected in the ...

Partial discharge (PD) pattern recognition approaches are designed to identify the types or severities of the insulation defects within the high voltage equipment, which is vital for evaluating ...