Thousands of meters beneath the ocean surface, creatures that have never been formally named are vanishing before scientists ...

Biologically plausible learning now reaches 96.7% on MNIST and 61.7% on CIFAR-10 without backpropagation, as Sakana AI ...

The AI in pathology market is witnessing strong growth, driven by the increasing adoption of digital pathology, rising cancer incidence, and the growing demand for faster and more accurate diagnostic ...

The accelerating growth of electronic waste (e-waste), industrial byproducts, and natural resources depletion highlights the ...

Hanwha Vision and a research team from the Gwangju Institute of Science and Technology (GIST) announced on July 14 that they ...

ACRouter, a new open-source AI router, learns from execution feedback to pick the best coding model per task, cutting costs 2 ...

Abstract: Breast cancer is a global health concern where early and accurate diagnosis is crucial. Mammogram scans provide detailed imaging but require expert interpretation, which is time-consuming.

Abstract: Tabular data is the most prevalent form of structured data, necessitating robust models for classification and regression tasks. Traditional models like eXtreme Gradient Boosting (XGBoost) ...