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

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

The Dynamic Ads optimization initiative represents a paradigm shift in how advertising platforms approach vertical-specific ...

The tech tool has been subject to criticism and controversy since being launched by the department five years ago.

Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...

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) ...

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

Transparency is another priority. Given the decentralized and trust-based nature of Web3.0, the expert emphasizes ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Every medication in your cabinet, every material in your phone's battery, and virtually every compound that makes modern life work started as a molecular guess, with scientists hypothesizing that a ...

A new set of simple equations can fast-track the search for metal-organic frameworks (MOFs), a Nobel-Prize-winning class of ...