Researchers at Aalto University in Finland, together with international partners, have developed the most accurate model yet of how humans read. The new model uses reinforcement learning, a type of AI used in robotics, to explain—and recreate—the choices readers make as they move through text.

Eye AI is moving fast, but will it work for people living at high altitude? In a study accepted by Science Bulletin, Dr. Wu Yuan’s team found that leading ophthalmic foundation models can lose accuracy across high-altitude retinal image cohorts. The team developed MIXFound, a lightweight way to combine several models and make AI diagnosis more robust in underrepresented settings.

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.

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).