Researchers develop TweetyBERT, an AI model that automatically decodes canary songs to help neuroscientists understand the neural basis of speech.

Self-supervised models generate implicit labels from unstructured data rather than relying on labeled datasets for supervisory signals. Self-supervised learning (SSL), a transformative subset of ...

Published as an arXiv preprint, the paper details how unsupervised and self-supervised AI models are matching or surpassing ...

The accurate measurement of the green fraction (GF), a critical photosynthetic trait in crops, typically relies on RGB image analysis employing segmentation algorithms to identify green pixels within ...

In PhotoniX, researchers report a self-supervised deep learning method that denoises dynamic fluorescence images in vivo without requiring clean training data. The figure shows in vivo venule images ...

Larotrectinib resistance in TRK fusion cancers: Analysis of a tumor-agnostic, global clinical trial dataset. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...

Deep learning may need a new programming language that's more flexible and easier to work with than Python, Facebook AI Research director Yann LeCun said today. It's not yet clear if such a language ...