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.

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.