From designing proteins not found in nature to extending healthy lifespan, Retro Biosciences is applying AI models to advance cellular reprogramming for aging research. The company operates across ...

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

Walmart, KPMG and Salesforce are among the companies debuting jobs as they adopt generative AI.

Minister Seymour said the new charter school embodies the flexibility and innovation that the charter model enables.

The 2025 Global Google PhD Fellowships recognize 255 outstanding graduate students across 35 countries who are conducting ...

Artificial intelligence (AI) could soon become more energy-efficient and faster, thanks to a new approach developed at the ...

When teachers talk about using AI in the classroom, the first question that usually comes up is: How does this actually ...

The integration of single-cell RNA sequencing (scRNA-seq) with AI has become a cornerstone for deciphering tumor heterogeneity. For instance, in pancreatic ductal adenocarcinoma (PDAC), spatial ...

State-of-the-art AI programs can support the development of drugs by predicting how proteins interact with small molecules.

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

A new technical paper titled “Multimodal Chip Physical Design Engineer Assistant” was published by researchers at National ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...