Browsing: models

Foundation models (FMs) are driving a prominent shift in biomedical imaging, from task-specific models to unified backbone models for diverse tasks. This opens an avenue to integrate imaging, pathology, clinical records and genomics data into a composite system. However, this vision contrasts sharply with modern medicine’s trajectory towards more granular sub-specialization. This tension, coupled with…

SOURCE / ECONOMY Reported US push to ban Chinese AI models reflects anxiety over eroding tech hegemony, risks backfiring: Chinese experts The Trump administration is showing signs that it could move to ban cutting-edge Chinese artificial intelligence (AI) models, as the emergence of China’s open-source Kimi K3 model has revived earlier efforts, Axios reported on Monday local…

A team of psychologists, computer scientists, and physicists from Italy, Slovenia, and South Korea has proposed seven “fault lines” between human and artificial intelligence (AI). The researchers question the extent to which AI is yielding intelligence, at least in the same form as human intelligence. The authors note the critical shift that occurred between statistical…

Current fairness evaluations of large language models (LLMs) deployed in healthcare settings largely focus on explicit statements about health-related stigma. Here we show that this may overestimate safety by contrasting explicit stigma-scale scores with contextual judgements in 51 scenarios. Across six LLMs and three high-stigma domains (human immunodeficiency virus (HIV), hepatitis B virus (HBV) and…