NPUs are the hot new AI chip, boasting enhanced deep learning capabilities while consuming a fraction of the energy — and all without data ever leaving the device.
Contrastive learning is a machine learning technique that trains models to distinguish between similar and dissimilar data pairs. It can be used for self-supervised learning and other use cases.
Data augmentation is a method of applying controlled transformations of a data set to artificially expand it and improve its quality. Here’s how it works.
Reinforcement learning relies on an agent learning to determine accurate solutions from its own actions and the results produced in a contained environment.
