Texas A&M AgriLife scientists used data modeling to uncover new insights into how cattle fever ticks survive and spread ...

Performance enhancement, cost reduction, data security, and improved energy efficiency are the end goals for optimizing AI workloads at the edge.

Researchers at The University of Texas MD Anderson Cancer Center have performed a comprehensive evaluation of five artificial intelligence (AI) models trained on genomic sequences, known as DNA ...

frontier proprietary and open-weight models yielded high attack success rates when prompted in verse, indicating a deeper, ...

OpenMMReasoner emphasizes data quality and diversity over quantity, offering a new path for enterprises to build custom, high ...

A research team at Kumamoto University (Japan) has unveiled a new mathematical framework that makes it possible to accurately model systems using multiple sensors that operate at different sensing ...

Lawsuits involving artificial intelligence developers may require unique data strategies, but enterprises and lawyers of all ...

On the digital AI side, Nvidia released new speech recognition models and expanded its suite of tools for AI safety and ...

Today, Arcee AI announced the release of Trinity Mini and Trinity Nano Preview, the first two models in its new “Trinity” ...

Advancements in omics-scale profiling technologies have ushered in new perspectives in immunology research and expanded our ...

This Research Topic is part of the article collection series:<br/><a href=" Multi-omics and Computational Biology in ...

Infectious diseases such as bacterial, viral, fungal and parasitic diseases continue to have a significant impact on global health. Hence, knowledge on how infection spread, population vulnerable to ...