The researchers found that patients who were identified with the help of the NLP model were more likely to undergo biopsy and treatment and more likely to be referred for possible curative surgery, ...

Abstract: Reconstructing prompts in text generation systems is a significant challenge in natural language processing (NLP). This study presents a novel Siamese encoder-decoder framework augmented ...

A person with advanced heart failure can look stable at a routine clinic visit. Their vitals may not alarm anyone. Their ultrasound might appear unremarkable to a quick review. The most revealing ...

At Argonne National Laboratory, researchers are trading in old-school approximations for raw supercomputing power, proving that the secret to a safer carbon-free future lies in mastering the math of ...

BART is an encoder-decoder model that is particularly effective for sequence-to-sequence tasks like summarization, translation, and text generation. Florence-2 is a vision-language model from ...

Most learning-based speech enhancement pipelines depend on paired clean–noisy recordings, which are expensive or impossible to collect at scale in real-world conditions. Unsupervised routes like ...

What if the power of advanced natural language processing could fit in the palm of your hand? Imagine a compact yet highly capable model that brings the sophistication of retrieval augmented ...

Why was a new multilingual encoder needed? XLM-RoBERTa (XLM-R) has dominated multilingual NLP for more than 5 years, an unusually long reign in AI research. While encoder-only models like BERT and ...

The TensorFlow Model Garden is Google’s open-source hub for high-performance machine learning models in vision and NLP, offering both official and research implementations. It provides a powerful ...

Google just made one of its most advanced AI reasoning models available to the public. Like other advanced models, Gemini 2.5 Deep Think uses more than one AI agent to brainstorm answers in order to ...