For a long time, training large models has relied heavily on the guidance of a "teacher." This could either be human-annotated "standard answers," which are time-consuming and labor-intensive, or ...

Anatomy Education, Smart Education, Artificial Intelligence, Big Data, Teaching Models, Interdisciplinary Integration, ...

By Milliam MurigiInternational researchers have developed an artificial intelligence (AI) system dubbed CRISPR-GPT, designed to automate and enhance CRISPR-based gene-editing experiments.Clustered ...

The rise of agentic AI is forcing us to rethink how we approach artificial intelligence safety. Unlike traditional AI systems ...

Scientists used AI to write coherent viral genomes, using them to synthesize bacteriophages capable of killing resistant ...

Artificial intelligence-enhanced cybersecurity tools allow healthcare IT teams to capture data on their would-be attackers.

Traditional machine learning methods like Support Vector Machines, Random Forest, and gradient boosting have shown strong performance in classifying device behaviors and detecting botnet activity.

Microbiomes—complex communities of microorganisms living in diverse environments—play critical roles in human health, agriculture, and ecosystem ...

Lotto Champ is an AI-powered software that analyses years of lottery draw data to provide personalized insights and ...

A research team led by Oak Ridge National Laboratory has developed a new method to uncover the atomic origins of unusual ...

Researchers from the University of Plymouth (UK) have developed and tested a deep learning model which, in a newly-published research study, has been shown to achieve up to 98% accuracy in ...

The College of Natural Sciences welcomed more than a dozen new tenured and tenure-track faculty members in 2025.