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

The Machine Learning Development Market is expected to grow from USD 35.0 billion in 2023 to USD 942.4 billion by 2033, with ...

Northwestern Engineering faculty and students participated in the annual forum for advances in theory, empirics, and ...

In an age where artificial intelligence (AI) is no longer a futuristic concept but a present-day reality, the role of ...

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

An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

A Self-Weighted Self-Evolutionary Learning Model (SWSELM) was developed to identify independent risk factors for sepsis mortality and to create a visualization system for clinical application. Results ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help ...

What it takes to get useful health data from your smartwatch Training an algorithm is an essential part of translating our bodies’ signals into early diagnoses.