At the heart of the project lies what is referred to as the Bowers WBHI Maternal Brain Project (MBP) dataset, a first-of-its-kind resource for mapping neuroanatomical changes — from preconception ...

I've identified collaboration as one of the critical gaps that organizations must bridge to transform their data science ...

Skoltech researchers have enlisted generative artificial intelligence to complete the missing data on the distances between ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, ...

Oregon State University scientists have improved artificial intelligence's ability to identify wildlife species in photos ...

Physics-informed model creates reconstructions based on experimental data, revealing plasma asymmetries and helping optimize ...

New results resolve the long-standing anomaly of the muon’s magnetic moment – and may offer hints about the nature of dark ...

And yet, data science is ... world health. Machine learning algorithms have demonstrated remarkable proficiency over the past year in detecting irregularities in medical images, often exceeding ...

June 2, 2025 — Human-AI interactions are well understood in terms of trust and companionship. However, the role of attachment and experiences in such relationships is not entirely clear.

Kaizen rethinks cell segmentation by mimicking brain predictions. Using an iterative machine-learning approach to refine boundaries in crowded microscopy images, it enhances accuracy in tissue studies ...

Salesforce's $8 billion acquisition of Informatica aims to strengthen its position in the enterprise data market by integrating advanced data management and AI solutions. John Deere's AI-powered ...