Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

Some studies containing instructions in white text or small font — visible only to machines — will be withdrawn from preprint ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

New research shows models can be directly edited to hide selected voices, even when users specifically ask for them.

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

CRISPR construct to genetically ablate the GABA transporter GAT3 in the mouse visual cortex, with effects on population-level neuronal activity. This work is important, as it sheds light on how GAT3 ...

According to a report by Nikkei, research papers from 14 institutions across eight countries, including Japan, South Korea, ...

Assessing the progress of new AI language models can be as challenging as training them. Stanford researchers offer a new approach.

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...