AI labs like OpenAI claim that their so-called “reasoning” AI models, which can “think” through problems step by step, are more capable than their non-reasoning counterparts in specific domains, such ...

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 ...

Cure models represent an important extension of conventional survival analysis, allowing researchers to distinguish between individuals who remain susceptible to an event and those who are effectively ...

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 ...

Development and Validation of Data-Driven Estimates of Recurrence Risk and Treatment Benefit in Early Breast Cancer In the article that accompanies this editorial, Weber et al 7 use data from two ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...

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 ...

Self-driving vehicles rely closely on interactions with humans, vehicles, and the surrounding environment. However, the interactive analysis of self-driving is impacted by multiple perception sources, ...

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 ...