When the COVID-19 pandemic hit, aid organizations worldwide struggled to identify vulnerable households quickly and fairly. Many people who needed help were left behind.

This important and compelling study establishes a robust computational and experimental framework for the large-scale identification of metallophore biosynthetic clusters. The work advances beyond ...

Introduction Stress is a major health issue in contemporary society, and mindfulness-based approaches reduce stress and anxiety but face practical barriers to consistent practice; this protocol ...

In letters to consultants and the College Board, House and Senate Judiciary leaders invoked antitrust law and asked how student data feeds pricing algorithms. By Ron Lieber Ron Lieber welcomes ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...

Microsoft announced the stable release of Azure Cosmos DB Python SDK 4.14.0, adding AI-driven document reranking, optimized batch reads, and automatic write retries developed in collaboration with ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the brain's wiring supports the way we think and act. The study, published June ...

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 ...

This important work employed a recent, functional muscle network analysis for evaluating rehabilitation outcomes in post-stroke patients. While the research direction is relevant and suggests the need ...

The Special Series notes were produced by IMF experts between April 2020 and March 2022 to help members address the economic effects of COVID-19. The series was discontinued as of December 2021. The ...