Understanding human biology requires more than mapping our genes—we must also understand how gene expression is regulated to ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the ...

When faced with a tricky maze task involving hidden information, humans instinctively toggle between two clever mental strategies: simplifying in steps or mentally rewinding. MIT researchers showed ...

If you push an AI system too hard by giving it unclear prompts, making it do too many things at once or skipping context, it ...

Discover how Magistral AI’s open-source reasoning model is transforming industries with human-like cognitive processes and ...

Ask the publishers to restore access to 500,000+ books. The Internet Archive keeps the record straight by preserving government websites, news publications, historical documents, and more. If you find ...

The predictive model also incorporates an improved fruit fly optimization algorithm (IFOA) in conjunction with support vector machine (SVM) techniques. The actual instances of lost circulation serve ...

To address this challenge, researchers developed SAVANA, a new algorithm, which they recently described in the journal Nature Methods. SAVANA uses machine learning to accurately identify ...

Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India. Using machine learning models to predict ...

In order to ensure the prediction accuracy of mechanical properties, a TCMSSA-ELM model, which is a hybrid of the sparrow search algorithm (SSA) optimized by the tent chaotic mapping (TCM) algorithm ...