News-Medical.Net

AI analysis maps a century of global aging research

A new research paper was published in Volume 17, Issue 11 of Aging-US on November 25, 2025, titled "A natural language ...
Learn With Jay on MSN

RNNs explained: Step-by-step inner workings breakdown

In this video, we will look at the details of the RNN Model. We will see the mathematical equations for the RNN model, and understand how one RNN Cell looks like. Recurrent Neural Network (RNN) in ...
Microsoft

Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing

Self-supervised learning in vision-language processing exploits semantic alignment between imaging and text modalities. Prior work in biomedical VLP has mostly relied on the alignment of single image ...
Microsoft

Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions?

Informal natural language that describes code functionality, such as code comments or function documentation, may contain substantial information about a programs intent. However, there is typically ...
Phys.org

Natural language found more complex than it strictly needs to be—and for good reason

Human languages are complex phenomena. Around 7,000 languages are spoken worldwide, some with only a handful of remaining speakers, while others, such as Chinese, English, Spanish and Hindi, are ...
IEEE

Decoding Urban Mobility: Application of Natural Language Processing and Machine Learning to Activity Pattern Recognition, Prediction, and Temporal Transferability Examination

Abstract: Activity patterns provide valuable insights into activity-based travel demand modeling and understanding human mobility. However, challenges often arise in accurately recognizing activity ...
IEEE

Advances in Pruning and Quantization for Natural Language Processing

Abstract: With ongoing advancements in natural language processing (NLP) and deep learning methods, the demand for computational and memory resources has considerably increased, which signifies the ...