Some have trained AI models with sets of data rich in Korean language and culture. South Korean companies say they re building AI for Thai, Vietnamese and Malaysian audiences. Others are eyeing customers in Brazil, Saudi Arabia and the Philippines, and in industries like medicine and pharmacy
A new study has suggested that using artificial intelligence, scientists have found out how to screen for genetic mutations caused in cancerous brain tumors in just 90 seconds and probably simplify the gliomas’ diagnosis and treatment.
The goal of contrastive representation learning is to learn such an embedding space in which similar sample pairs stay close to each other while dissimilar ones are far apart. Contrastive learning can be applied to both supervised and unsupervised settings. When working with unsupervised data, contrastive learning is one of the most powerful approaches in self-supervised learning.
Contrastive Training Objectives In early versions of loss functions for contrastive learning, only one positive and one negative sample are involved.