Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don't have much data. Conversely ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

As companies rush to adopt new AI solutions, business leaders must understand the different types and how AI compares to ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

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: ...

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 ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing.

This paper presents a Systematic Literature Review (SLR) that offers a comprehensive discussion of research on chronic diseases prediction using machine learning and its data preprocessing handling.

Abridge developed a medical record template specifically for pediatric providers with a focus on primary care well visits.

Q&A Predicting the Future Using Azure Machine Learning By David Ramel 05/13/2025 The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach ...