This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...

Scientists develop a forecasting system that predicts high-risk windows and regions for solar superflares, using 50 years of X-ray data and machine learning techniques.

University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden shortcuts rather than ...

Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

Explore how core mathematical concepts like linear algebra, probability, and optimization drive AI, revealing its ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

Conflict forecasting, using AI and vast amounts of data, is evolving fast. The Middle East's authoritarian regimes could well be among the first in the world to use it to stop protests — before they ...

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...