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

Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

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

Psychological testing has evolved from Freud to AI and eye tracking. Technology adds depth, but theory and ethics must guide its use to ensure meaningful and equitable diagnoses.

Scientists have built a graphene-based device that can taste with near-human accuracy in a breakthrough that pushes artificial sensing closer to human ability. The system uses machine learning to ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

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 ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

Scikit-Learn is a powerful framework for traditional machine learning algorithms such as regression, classification, and clustering. It integrates well with Linux-based Python environments, making it ...