Real-World and Clinical Trial Validation of a Deep Learning Radiomic Biomarker for PD-(L)1 Immune Checkpoint Inhibitor Response in Advanced Non–Small Cell Lung Cancer The authors present a score that ...

Please provide your email address to receive an email when new articles are posted on . There is great potential in using AI-trained data models to detect and specify neurologic conditions. Adding ...

The arms race to build smarter AI models has a measurement problem: the tests used to rank them are becoming obsolete almost as quickly as the models improve. On Monday, Artificial Analysis, an ...

H2O.ai, a provider of open-source AI platforms, announced today two new vision-language models designed to improve document analysis and optical character recognition (OCR) tasks. The models, named ...

A social network analysis (SNA) of text-message communication among nursing home care teams identified three different communication models and determined that an understanding of these models can ...

Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream ...

Foundation models are transforming financial engineering, with specialized financial foundation models emerging to tackle ...

A variety of linear models are available to represent common active electronic devices such as transistors and vacuum tubes. Devices operating under large-signal conditions often require nonlinear ...

Sentiment analysis — a technique that uses natural language processing (NLP), machine learning (ML) and AI to gauge emotions in customer interactions — has emerged as a powerful tool for uncovering ...

Have you ever found yourself deep in the weeds of training a language model, wishing for a simpler way to make sense of its learning process? If you’ve struggled with the complexity of configuring ...