Researchers in Denmark say they have used powerful machine-learning algorithms to accurately predict certain aspects of human lives, including how early someone is likely to die.

Comparing multiple machine learning algorithms, including CNN, VGG, U-Net, SVM, Random Forest, and Gradient Boosting, to classify Multiple Sclerosis (MS) using a dataset with clinical and imaging data ...

Hybrid CNN-LSTM Machine Learning Algorithm for Driver Distraction Detection Driver distraction is a critical safety concern on roadways, with potentially life-threatening consequences.

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

Development of the recognition of rare plant species will be advantageous in the fields such as the pharmaceutical industry, botany, agricultural, and trade activities. It was also very challenging ...

New algorithm boosts multitasking in quantum machine learning Date: December 10, 2024 Source: Tohoku University Summary: When a quantum computer processes data, it must translate it into ...

Researchers in Denmark say they have used powerful machine-learning algorithms to accurately predict certain aspects of human lives, including how early someone is likely to die.