Intramolecular charge transfer (ICT) is one of the most important photophysical mechanisms in organic fluorophores. Among ICT processes, TICT ...

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...

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

By transforming everyday smartphone signals into high-resolution mobility data, researchers have reconstructed how residents of Cuenca travel across the city and what those patterns mean for energy ...

Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...

Technology is revolutionising how we gather and assess data on nature, presenting huge benefits and no little irony ...

More than half of transplant recipients in a large analysis developed chronic graft-versus-host disease, and 15% died from causes other than cancer relapse. Those numbers capture the uneasy truth of ...

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 ...

These early AI-generated images looked impressive at first glance… until you noticed the extra fingers, warped faces, and ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

A publicly available AI tool correctly predicted approximately twice as many children with acute lymphoblastic leukemia who would relapse as three expert clinicians.XGBoost, a boosting algorithm, had ...