Abstract: Positive and unlabeled learning (PU learning) aims to train a binary classifier based on only PU data. Existing methods usually cast PU learning as a label noise learning problem or a ...

The growing use of AI-generated scientific and science-related content, especially on social media, raises important concerns: these texts may contain false or highly persuasive information that is ...

Batch effect correction has been recognized to be indispensable when integrating scRNA-seq data from multiple batches. Here, we propose SMNN for batch effect correction of scRNA-seq data via ...

Electronic shelf labels are being introduced in some Milwaukee-area grocery stores like Walmart and Metro Market. Retailers claim the digital tags improve efficiency by allowing for rapid, store-wide ...

Elon Musk’s X is the latest social network to roll out a feature to label edited images as “manipulated media,” if a post by Elon Musk is to be believed. But the company has not clarified how it will ...

For example, Energy Efficiency Index scores for iPhone models on the EU market in June 2025 all qualified for the highest "A" grade, but Apple chose to voluntarily derate scores to a "B" grade to ...

Copilot in Excel introduces new finance-focused capabilities that help teams work to their standards, use trusted financial data, and stay in control of every change. GPT‑5.5 Instant is now available ...

When US Surgeon General Dr. Vivek Murthy pushed last week for a tobacco-style warning on social media, he called the mental health crisis in young people an emergency that demanded action without ...

Earlier in February, Meta said that it would start labeling photos created with AI tools on its social networks. Since May, Meta has regularly tagged some photos with a “Made with AI” label on its ...

There has been much discussion in recent years about satire’s role in the online world – and the risks we face from it being misunderstood. In a recent article, NewsGuard editorial director Eric ...