Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials science. However, conventional methods are computationally intensive and ...

The new capability supports tables, figures, and diagrams with spatial metadata, making documents searchable and actionable in AI workflows.

Explore the importance of data management in proteomics, highlighting robust bioinformatics infrastructure and community collaboration.

This study presents valuable findings from a spatiotemporal analysis of arbovirus case notification data from 2013 to 2020 in Brazil, reporting associations between covariates representing potential ...

Historically, data center design was linear: Size the facility to meet demand forecasts and hope for the best. Power and ...

With agentic AI, the database must evolve from a passive ledger to an active reasoning engine that informs, guides, and ...

This is crucial, especially for data mesh, where everyone becomes a data user, and metadata, where everyone should access data knowledge. Without an anthropological and psychological perspective on ...

Basecamp Research says it has augmented the AlphaFold2 artificial intelligence tool for predicting protein structures to create a platform that is more accurate and better at modelling small-molecule ...

The protocol offers a standardized framework that defines how AI systems securely connect with trusted, validated knowledge ...

Despite the title of this article, this is not a braindump in the traditional sense. You see, I don’t believe in cheating. Traditionally, the term “braindump” referred to someone taking an exam, ...

The study presents important insights into the regulation of muscle hypertrophy, regulated by Muscle Ankyrin Repeat Proteins (MARPs) and mTOR. The methods are overall solid and complementary, with ...