Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
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 ...
The Dynamic Ads optimization initiative represents a paradigm shift in how advertising platforms approach vertical-specific ...
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
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 ...
On January 9, 2026, the latest edition of Applied Artificial Intelligence for Drug Discovery was published online as a Springer Nature volume, spanning 27 chapters authored by leading international ...
Cutting-edge robotics, AI-driven vision systems and modular tooling are helping cannabis packaging automation to meet unique ...
A novel AI method inspired by the Sabarimala Yatra enhances problem-solving in science and medicine. Discover its ...
AI could transform materials R&D. But how it does this, and how well it is adopted, is yet to be seen. Here, we take a look ...
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