The generative AI era began for most people with the launch of OpenAI's ChatGPT in late 2022, but the underlying technology — the "Transformer" neural network architecture that allows AI models to ...

Abstract: Change detection plays a vital role in numerous real-world domains, aiming to accurately identify regions that have changed between two temporally distinct images. Capturing the complex ...

UDOP adopts an encoder-decoder Transformer architecture based on T5 for document AI tasks like document image classification, document parsing and document visual question answering. You can use the ...

Abstract: Automatic modulation classification (AMC) is one of the fundamental technologies in adaptive communication systems, supporting various tasks such as spectrum surveillance and cognitive radio ...

READING, Pa.—Miri Technologies has unveiled the V410 live 4K video encoder/decoder for streaming, IP-based production workflows and AV-over-IP distribution, which will make its world debut at ISE 2026 ...

Today’s most powerful AI tools – the ones that can summarise documents, generate artwork, write poetry or predict how incredibly complex proteins fold – all stand on the shoulders of the “transformer” ...

Abstract: Denoising diffusion probabilistic models (DDPMs) are becoming the leading paradigm for generative models. It has recently shown breakthroughs in audio synthesis, time series imputation and ...

We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...