A mother's health during pregnancy, childbirth and the postpartum period is the foundation of lifelong well-being, directly influencing a child's development and long-term outcomes, yet most ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Researchers used 1 million data points and a machine learning algorithm to estimate groundwater stores with higher resolution ...
People with spinal cord injuries often lose movement even though their brains still send the right signals. Researchers ...
The development hasn’t been straightforward. Early versions of the algorithm struggled with shadows and confused driftwood ...
People with spinal cord injuries often lose some or all their limb function. In most patients, the nerves in their limbs work ...
Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
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 ...
How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results