The ability to predict and interpret modifications of ribonucleic acid (RNA) has been a welcome advance in biochemistry research. However, existing predictive approaches have a key drawback—they can ...

We leverage machine learning approaches to adapt nanopore sequencing basecallers for nucleotide modification detection. We first apply the incremental learning (IL) technique to improve the ...

Researchers are interested in genetically modifying trees for a variety of applications, from biofuels to paper production. They also want to steer clear of modifications with unintended consequences.

Google's DeepMind AI research team has unveiled a new open source AI model today, Gemma 3 270M. As its name would suggest, this is a 270-million-parameter model — far smaller than the 70 billion or ...

Over 100 EVs gathered at Sepang International Circuit for the SoyaCincau x Dongfeng Pop-Up EV Clinic: Track Edition 2026, but ...