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 were first introduced by the team at Google Brain in 2017 in their paper, “Attention is All You Need”. Since their introduction, transformers have inspired a flurry of investment and ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

For decades, the process of drug discovery has been a prolonged, costly, and unpredictable endeavor — an effort that ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Transformer-based large language models ...

Vision transformers (ViTs) are powerful artificial intelligence (AI) technologies that can identify or categorize objects in images -- however, there are significant challenges related to both ...

It’s 2023 and transformers are having a moment. No, I’m not talking about the latest installment of the Transformers movie franchise, “Transformers: Rise of the Beasts”; I’m talking about the deep ...