In the last decade, convolutional neural networks (CNNs) have been the go-to architecture in computer vision, owing to their powerful capability in learning representations from images/videos.

Transformers, first proposed in a Google research paper in 2017, were initially designed for natural language processing (NLP) tasks. Recently, researchers applied transformers to vision applications ...

The Transformer architecture has been successful across many domains, including natural language processing, computer vision and speech recognition. In keyword spotting, self-attention has primarily ...

The transformer, today's dominant AI architecture, has interesting parallels to the alien language in the 2016 science fiction film "Arrival." If modern artificial intelligence has a founding document ...

In the past, the intellectual property issues in AI were generally overlooked. The technology moved very fast, most systems published in academic literature rarely progressed beyond proof of concept, ...