A new technology has been developed that enables pretrained AI models to be expanded into larger models with specialized expert modules, without training the models from scratch.

A research team led by Senior Researcher Seongsik Park of the Semiconductor Technology Research Division at the Korea Institute of Science and Technology (KIST; President Oh Sang-rok) announced that it has developed "A²SG," a new learning technique that enhances the learning performance of SNNs. This research was accepted as a regular paper at ICML 2026, one of the world's top three artificial intelligence conferences, and was presented on Tuesday, July 7, at the conference (July 6-11, COEX, Seoul)-the first time in the conference's history that it was held in South Korea.

Reciprocating contacts are commonly used machine elements. 

Fluorescence molecular imaging is an evolving technology for precision tumor diagnosis and therapy. By means of fluorescence probes, it enables the visualization of tumor-associated molecules, cells, or microenvironmental components, thereby facilitating the efficient identification and localization of lesions. With recent advances in the near-infrared II (NIR-II) window, targeted probes, microenvironment-responsive probes, multimodal imaging strategies, and theranostic integrated probes, fluorescence molecular imaging is shifting from a modality primarily used to “visualize lesions” toward a more comprehensive platform for tumor identification, therapy facilitation, and treatment-response monitoring. Meanwhile, artificial intelligence, particularly deep learning, can support image denoising, enhancement, resolution improvement, and three-dimensional localization, and may further assist in tumor recognition and grading, minimal residual disease assessment, and metastatic risk estimation. Overall, the integration of fluorescence imaging with AI is advancing oncology toward a more precise, intelligent, and integrated paradigm; however, key challenges remain, including probe biocompatibility and safety, clinical translation, and the lack of standardized imaging protocols.

The Hebrew University of Jerusalem proudly congratulates Prof. Haim Sompolinsky, one of the world's leading theoretical physicists and neuroscientists, on being awarded the 2026 Dirac Medal and Prize by the Abdus Salam International Centre for Theoretical Physics (ICTP).