Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

A research team from Kumamoto University has developed a promising deep learning model that significantly enhances the accuracy of subgraph matching—a critical task in fields ranging from drug ...

Artificial intelligence is playing an increasingly vital role in modern medicine, particularly in interpreting medical images ...

B-Preview, an open source AI coding model based on Deepseek-R1-Distilled-Qwen-14B. The model achieves a 60.6% pass rate on ...

At first, Yu mainly played computer games, but in middle school she won an award for web design. It was the first of many ... We’re developing a deep learning model that should be able to predict the ...

it becomes an AI model. The more data it has been trained on, the more accurate it is. From machine learning and deep learning to generative AI and natural language processing, different types of ...

Despite sanctions, Chinese companies are forging ahead with AI. The Huawei AI stack is optimised to run on the CloudMatrix ...

After almost a decade of hands-on workshops and ongoing research, educators share the power of digital storytelling as an ...

It is trained on large datasets containing texts from sources such as books, web pages ... and tools for model optimization and deployment. Since PyTorch is an open-source deep learning framework ...

TensorFlow bundles together a slew of machine learning and deep learning models and algorithms ... Code from the TensorFlow Model Garden provides examples of best practices for training your ...

A recent Npj Digital Medicine study evaluated the effectiveness of COMPOSER, a deep learning model for early sepsis prediction. It assessed the impact of this model on the quality of patient care ...