A Nigerian researcher, Muinat Zubair, has developed a method for predicting protein structure and protein-protein interactions using a combination of experimental and computational approaches.Zubair ...

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 ...

The lawsuit has intensified a growing debate about the risks of AI chatbots as more young people use them not only for ...

An analysis of Artificial Intelligence and its use by capitalist governments and corporations, by Rezgar Akrawi.

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

WATFORD CITY, N.D. (North Dakota Monitor) – North Dakota oil and gas companies have new economic allies in the form of a tech ...

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 ...