In the rapidly growing field of digital healthcare, leveraging artificial intelligence to streamline processes is becoming ...

[ICIP'24 Lecture Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".

In 2017, a significant change reshaped Artificial Intelligence (AI). A paper titled Attention Is All You Need introduced ...

A  new technical paper titled “Accelerating OTA Circuit Design: Transistor Sizing Based on a Transformer Model and ...

Large language models (LLMs) are poised to have a disruptive impact on health care. Numerous studies have demonstrated ...

BERT (Bidirectional Encoder Representations from Transformers ... summarization, and more. Its architecture follows the transformer model, and it has been trained to optimize both scale and ...

Architecture MSci integrates the development of architectural design skills with an understanding of the complex social and technical environments in which buildings are produced. The programme ...

DeepSeek has emerged as a groundbreaking player in this dynamic environment, leveraging innovative strategies to challenge the status quo.

View of the AlMidhallah exhibition component, the outdoor exhibition spaces, at the Islamic Arts Biennale 2025. Image © Marco Cappelletti At the forefront of this ...

Built on top of the 🤗 Transformers ecosystem, TRL supports a variety of model architectures and modalities, and can be scaled-up across various hardware setups. Command Line Interface (CLI): A simple ...

Being open-source and modular, Haystack Agents seamlessly integrate with popular ML libraries and infrastructures like Elasticsearch, Hugging Face models, and pre-trained transformers. Haystack Agents ...

and Bidirectional Encoder Representations from Transformers (BERT) is one of the most popular pre-trained transformer models for many applications. This paper studies the dependability and impact of ...