Using a specially developed simulation model, researchers at the University of Cologne have traced and analyzed the dynamics ...

Abstract: Water quality monitoring is essential for public health, environmental sustainability, and effective resource management. This study introduces an innovative approach that combines machine ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

Artificial intelligence is rapidly becoming medicine’s most powerful microscope, revealing patterns in human DNA that were ...

The future of hiring may utilize AI, but it is also accountable, auditable and, increasingly by law, must include ...

Artificial intelligence is no longer just spotting tumors a little faster than humans. In study after study, machine learning systems are uncovering hidden patterns in cancer data that even veteran ...

Abstract: This paper presents a dual-optimization learning model combining genetic algorithms for global path planning with local obstacle avoidance algorithms for robot navigation in dynamic ...

Experts are increasingly turning to machine learning to predict antibiotic resistance. The results should be treated with ...

Precision medicine has revolutionized the landscape of neurological care, shifting from “one-size-fits-all” approaches to ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

But common sense and the precautionary principle suggest that it is too early for AI to prescribe drugs without human oversight. And the fact that mistakes may be baked into the technology could mean ...

Bioprocessing data is often scattered across electronic laboratory notebooks (ELNs), laboratory information management systems (LIMS), instruments, spreadsheets, and legacy systems that don’t talk to ...