Seeking to shed light on inconsistent brain activation patterns observed in previous studies of smell, a team of researchers in Lyon, France, used data mining techniques to analyze the pleasant or unpleasant odor sensations and corresponding brain scans of a group of 42 participants. They found characteristic patterns in the piriform cortex and amygdala. The group’s research was published August 1 in Intelligent Computing, a Science Partner Journal.

A cutting-edge study has unveiled the genetic mechanisms that shape the vibrant purple leaves of tea plants, renowned for their health-enhancing anthocyanins.

The integration of large language models and neuro-symbolic cognitive architecture within self-improving adaptive instructional systems is proposed for educational support. The developed never ending open learning adaptive framework (NEOLAF) and its hosting platform, the open learning adaptive framework (OLAF), exemplify advanced AI implementation. Proof of concept testing has been conducted to enhance mathematical problem-solving abilities and evaluate interactive agent deployment in learning environments.

In the research, they aim to reduce the synchronization cost by quantifying and analyzing the tradeoff between consistency and synchronization cost. 

A new study unveils a breakthrough approach to detecting fatigue cracks in Orthotropic steel bridge decks (OSDs) using advanced robotics and deep learning.