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.

I watched this entire video where Sam Altman talks about novel architectures, and what they mean for the industry, about ...

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 ...

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 ...

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 ...

I’ve been covering Android since 2023, when I joined Android Police, mostly focusing on AI and everything around Pixel and Galaxy phones. I’ve got a bachelor’s in IT with a major in AI, so I naturally ...

Modern biology is awash in data. Scientists can sequence DNA, track gene activity cell-by-cell, map proteins in space, and ...

Researchers at KAUST have proposed a 'super transformer' AI architecture designed to integrate diverse biological data types—such as DNA sequences, gene activity, and tissue images—into a single model ...