Reproducibility is fundamental to science. Yet digital technology casts an increasingly long shadow on the principle. When independent investigators examine studies, they are unable to validate about ...
After 15 months of delays, freezes, and cancellations, DOE told Congress it had completed its review of 2,271 total grants and intends to move forward with 86% of them. Latitude published the list of ...
Anger over the data center boom has spilled into politics with voters unseating local politicians who support them. It's ...
American AI developer Anthropic plans to "lay the risks out on the table" even as it restricts deployment of a new model ...
Anger over the data center boom has spilled into politics with voters unseating local politicians who support them. It's ...
Abstract: This paper introduces DSrepair, a knowledge-enhanced program repair approach designed to repair the buggy code generated by LLMs in the data science domain. DSrepair uses knowledge graph ...
A new testing framework designed to evaluate AI's chemistry skills has revealed gaps in what today's most powerful models can ...
Inside OpenAI’s ‘self-operating’ infrastructure, where Codex-powered AI agents debug failures, manage releases, and compress ...
At its core, GPT-Rosalind is the first in a new series of models optimized for scientific workflows. While previous ...
This issue of Transforming Care looks at how employees of health care systems are working to make AI useful while also ...
April 15, 2026) - digna has announced Release 2026.04 of its data quality and observability platform, introducing new capabilities in time-series analytics and validation standardization designed to ...
This training teaches analysts, developers, engineers, and leaders to build an end-to-end AI solution and consider how it could realize value for their organization.
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