When governance is engineered into how data is created and used, it accelerates access, experimentation, model development ...

Without high-quality, well-governed data, every downstream AI initiative becomes fragile, expensive, inaccurate or downright ...

A new peer-reviewed study published in the journal Algorithms signals a major shift in how humanitarian logistics can be ...

Traditional model validation assumes a model can be tested in isolation, signed off, and then left unchanged. That approach ...

On Wednesday, Google's DeepMind AI research lab announced AlphaGenome, an AI model designed to identify disease markers in large volumes of genetic data. It's badly needed in a field that has produced ...

AI’s energy problem may also be its solution, as cities are increasingly exploring opportunities to repurpose excess heat ...

Harnessing the power of artificial intelligence to study plant microbiomes—communities of microbes living in and around ...

Those dynamics are examined in a new peer-reviewed study titled Power for AI Data Centers: Energy Demand, Grid Impacts, Challenges and Perspectives, published in Energies. The research finds that AI ...

Animal models have long shaped how biomedical research is conducted. They have influenced how diseases are studied, how ...

MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...

A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.

The implications of AI for data governance and security don’t often grab the headlines, but the work of incorporating this ...