Yes, it still makes plenty of mistakes, but it has become part of the job for many.

BOSTON — A novel machine learning algorithm has potential to improve detection and treatment of individuals with familial hypercholesterolemia, according to a new study. Spencer V. Carter ...

Building on this theoretical evaluation, the researchers designed an efficient algorithm for machine learning with symmetric data. Mathematical combinations To do this, they borrowed ideas from ...

Finbold’s AI price prediction tool relied on three machine learning models to figure out where the Bitcoin price might be by August 1, 2025.

Real time, webcam based, driver attention state detection and monitoring using Python with OpenCV and a custom resnet50 facial keypoint detection model. Note: This work is partially based on this ...

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 ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

Our methodology employs a physics-informed machine learning pipeline that operates in two stages: the characteristic peak extraction (CaPE) algorithm, which isolates distinctive spectral features, and ...