Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Find out how this structured machine learning roadmap called I-Con could lead to breakthroughs in AI.

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 ...

The Python code, now available on CHM's GitHub page as open source software, offers AI enthusiasts and researchers a glimpse into a key moment of computing history.

This working directory will contain the full TensorFlow object detection framework, as well training images, training data, trained classifier, configuration files, and everything else needed for the ...

Discover the transformative advancements of YOLOv9, the latest iteration of the pioneering YOLO series, enhancing efficiency and accuracy in real-time object detection through groundbreaking ...

The paper presents the design and implementation details of the intelligent object detection based security system in two different computing environment, MATLAB and Python respectively using ...

Geochemistry π is an easy-to-use step-by-step interface to carry out common machine learning tasks on geochemical data, including regression, clustering, classification, and dimension-reduction.