Northwestern University engineers have developed the first modular robots with athletic intelligence. They can be combined ...

(More broadly, the military use of AI needs to be a granular question. We might find, for example, that AI helps with ...

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 ...

AI doesn’t just simulate human thinking and language—it mimics our cognitive biases too. Overconfidence is one of the most ...

Abstract: Traditional permanent scatterer (PS) selection and registration algorithms suffer from significant errors in global navigation satellite system-based bistatic synthetic aperture radar ...

Background: The effect of selecting the initial crossing strategy using the global chronic total occlusion (CTO) crossing algorithm on the outcomes of CTO percutaneous coronary intervention (PCI) has ...

Copyright: © 2025 The Authors. Published by Elsevier Ltd. SGLT2i (n = 57,749) and DPP4i (n = 87,807) initiations were identified amongst people of White (n = 114,287 ...

Cancer machine learning research is often limited by overparameterization and overfitting, which arise because cancer ‘omic’ variables significantly outnumber patient samples. Traditional feature ...

Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral and ...