Development of an Electronic Health Record–Based Algorithm for Predicting Lung Cancer Screening Eligibility in the Population-Based Research to Optimize the Screening Process Lung Research Consortium ...

We developed precompiled lexicons and classification rules as features for the following ML classifiers: logistic regression, random forest, and support vector machines (SVMs). These features were ...

Treatment of non–muscle-invasive bladder cancer (NMIBC) is guided by risk stratification using clinical and pathologic criteria. This study aimed to develop a natural language processing (NLP) model ...

The human brain processes spoken language in a step-by-step sequence that closely matches how large language models transform ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Brain activity during speech follows a layered timing pattern that matches large language model steps, showing how meaning builds gradually.

Small language models are maturing rapidly and can be a great place to begin your AI journey while staying cost-effective, ...

Recently, a research team at The University of Massachusetts Amherst led by Emma Strubell published a paper on the carbon emissions generated through training a high-performing NLP model. Given the ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

The AI landscape in 2025 is dominated by cutting-edge Large Language Models (LLMs) designed to revolutionize industries. These advanced models, like Gemini 2.5 ...