Deal keeps app available for more than 200 million U.S. users under new safeguards around data, algorithms and content ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...
A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...
AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun ...
The structure of X's "For You" algorithm can now be traced on GitHub. However, how exactly the algorithm evaluates which ...
X has open-sourced its new recommendation algorithm, Phoenix, revealing a complete shift from manual ranking rules to ...
The inversion of the one-dimensional wave spectrum from dual-polarized synthetic aperture radar (SAR) data is performed using machine learning methods, namely Random Forest (RF), eXtreme Gradient ...
AI tools are exposing hidden truths in art history, analyzing brushstrokes to reveal who really painted the world’s ...
Objective: Clear cell renal cell carcinoma (KIRC) is the most prevalent and aggressive form of kidney cancer, with limited survival despite advances in combination immunotherapy. Tumor-associated ...
Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...