Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

Small-scale quantum computers can enhance machine learning performance, as shown in an experimental study using a photonic ...

Scientists say they have worked out a machine learning method with the ability to provide close to precise survival estimates ...

Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

Scientists have used machine learning to improve the efficacy and safety of targeted cell and gene therapies by potentially ...

A novel machine learning model enhances colorectal cancer (CRC) prognosis and immunotherapy response prediction by ...

As the world transitions to clean energy, wind power has emerged as a cornerstone of renewable electricity generation .

Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

IntroductionThe UK water industry faces significant challenges in ensuring the accuracy and quality of the vast amounts of ...

The Paul G. Allen School of Computer Science & Engineering at the University of Washington. (Allen School Photo) The need to ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

Eye-Tracking, Machine Learning, Distance Learning, Online Learning, E-Learning, Bibliometric Analysis Share and Cite: Ayan, E ...