A new study shows that a retrieval-augmented generation-based intelligent learning companion can significantly enhance students’ practical skills and flow experience in analog circuit laboratory instruction. While the system does not replace teachers in conceptual or emotional guidance, it provides highly accurate, real-time support that strengthens hands-on learning and engages students more deeply during experiments.

The first atlas of the female reproductive system shows menopause as a turning point that reorganizes organs and tissues, revealing that they do not all age at the same rate.

The study used artificial intelligence and the supercomputing power of MareNostrum 5 to analyze more than 1,000 tissue images and the expression of thousands of genes in 659 samples from 304 women.

The results open the door to detecting blood biomarkers that would allow non-invasive monitoring of reproductive aging and its associated risks.