We use algorithms every day for things like image searches, predictive text, and securing sensitive data. Algorithms show up all over nature, too, in places like your immune system and schools of fish ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

IIIT Dharwad offers a two-year online MTech in AI and ML with on-campus sessions, targeting professionals holding ...

A novel AI method inspired by the Sabarimala Yatra enhances problem-solving in science and medicine. Discover its ...

Data quality problems are systemic in agriculture, the researchers note. Historical reliance on local practices, fragmented ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine data processing and problem-solving.

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green chemical processes and carbon dioxide capture has surged. Ionic liquids (ILs) ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

1 Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China 2 Department of Pediatric Cardiology, Guangzhou Women and Children’s Medical Center, Guangzhou ...

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...