Competitive pressure among tech giants is propelling society into the future of artificial intelligence, ready or not. Scott Pelley dives into the world of AI with Google CEO Sundar Pichai
Competitive pressure among tech giants is propelling society into the future of artificial intelligence, ready or not. Scott Pelley dives into the world of AI with Google CEO Sundar Pichai
Competitive pressure among tech giants is propelling society into the future of artificial intelligence, ready or not. Scott Pelley dives into the world of AI with Google CEO Sundar Pichai
The Turing test used to be the gold standard for proving machine intelligence. This generation of bots is racing past it. We need to stay calm and develop a new test.
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.