It also requires exploring new linguistic features and computational techniques on a relatively large dataset to ensure the results can ... conducted on the extracted features using seven machine ...

Given that omics datasets, such as RNAseq data, comprise expression information of thousands of genes (features) with far few samples, feature selection is of great importance. Machine learning ...

Meta AI has released LeanUniverse, an open source machine learning (ML) library designed to address the growing challenges of managing datasets in large-scale machine learning projects. Built on the ...

A research group has developed SPACIER, an advanced polymer material design tool that integrates machine learning with ...

Thanks to its capacity to detect patterns and stay consistent, machine learning is a great tool for CNS behaviour studies.

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

I used the Mutual Fund Observer Premium screener to identify high-yield, low-risk funds in eight Lipper Categories and Portfolio Visualizer ... and Lipper global dataset and selected the following ...

Really a disastrous decision." Congress directed NHTSA in the 2021 infrastructure law to establish minimum-performance standards for automatic emergency braking systems, which use sensors such as ...

Mohan also noted in the letter that YouTube this year will deploy machine-learning technology to estimate users’ ages to assist with showing them age-appropriate experiences and recommendations.