In June, Google DeepMind took the wraps off AlphaGenome, its latest machine learning model for biological discovery. While ...

Datavzrd makes complex datasets interactive and easy to use. It works across scientific fields without programming knowledge.

Mining and metals advocacy group the ICMM has launched its ‘Global Mining Dataset’, to address the lack of reliable, ...

By tapping into Google Research Football’s reinforcement learning environment, two University of Waterloo researchers, Dr. David Radke and Kyle Tilbury, developed a system that can simulate and record ...

OORT’s image data set gained front-page visibility on Kaggle, underscoring the momentum behind decentralized and crowd-sourced AI training data solutions.

The dataset upload is available as of April 15 and includes high-quality elements such as abstracts, short descriptions, infobox key-value data, image links and segmented article sections.

Why extracting data from PDFs is still a nightmare for data experts Countless digital documents hold valuable info, and the AI industry is attempting to set it free.

Computational notebooks have become the tool of choice for many data scientists and practitioners for performing analyses and disseminating results. Despite their increasing popularity, the research ...

Loss of nuance: Models begin to forget outlier data or less-represented information, crucial for a comprehensive understanding of any dataset.

Some are opting to download their DNA data from services like 23andMe before deleting their accounts. Here is a step-by-step guide on how to just that.

Jupyter Notebooks are a powerful tool for data science, allowing users to write and execute code, visualize data, and document workflows interactively. They are widely used for data exploration, ...