We invite proposals in all areas of Digital Humanities research and related fields that work with digital methods, resources and data. Special attention will be given to our conference theme: Data ...

Billed as the “world’s first museum of AI arts,” Dataland uses wearables and troves of material from the Amazon to merge ...

Amazon Mechanical Turk shutdown ends 21 years of invisible labor that powered the AI training industry, as AWS closes the ...

RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

Job Description We are looking to hire a Lead Genomic Data Scientist to join our Bioinformatics Consulting team at Genomics ...

Earth observation relies on diverse imaging systems whose varying spatial, spectral, radiometric, and temporal ...

A difficulty-graded mouse brain dataset pairs 3D microscopy images with verified neuron reconstructions to support AI-driven ...

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

Today, frontier AI labs such as OpenAI and Anthropic are among its biggest and most strategically important customers. These companies need vast amounts of data to train foundation models. But that is ...

Structural biology has long been a leader in open data culture; the Protein Data Bank (PDB), Electron Microscopy Data Bank (EMDB), and Biological Magnetic ...