Nature

Deep learning models simultaneously trained on multiple datasets improve base-editing activity prediction

CRISPR-derived base editors (BE) enable precise single nucleotide substitution without introducing double-stranded DNA breaks. Apart from the base editing enzymes, efficient base editing strongly ...
MusicRadar on MSN

Is your track in the datasets that are being used to train AI? Find out here

But that’s not proof they’ve been ...
SiliconANGLE

OpenAI launches partner initiative focused on creating AI training datasets

OpenAI LP today announced a new initiative, OpenAI Data Partnerships, through which it will collect records from other organizations to create artificial intelligence training datasets. The quality of ...
Nature

A deep multiple self-supervised clustering model based on autoencoder networks

Numerous models for deep clustering have been proposed in recent times, exhibiting remarkable performance in unsupervised learning. However, they often concentrate on the features of the data itself, ...
VentureBeat

New training method boosts AI multimodal reasoning with smaller, smarter datasets

Researchers at MiroMind AI and several Chinese universities have released OpenMMReasoner, a new training framework that improves the capabilities of language models in multimodal reasoning. The ...