Science Daily

Scientists build a “periodic table” for AI

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...
IEEE

Comparison of Spelling Error Detection in Turkish Texts With Machine Learning and Transformer-Based Approaches

Abstract: This study aims to compare the performance of five different models for spelling error detection, a crucial task in natural language processing. In this ...
IEEE

Tracking Dynamic Facial Function in Facial Palsy Using Machine Learning Algorithms

Abstract: This research introduces a machine learning-based approach for assessing dynamic facial function in facial palsy patients through objective iris movement tracking. Integrated with a remote ...

Machine learning reveals hidden landscape of robust information storage

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of two-dimensional memories, systems that can reliably store information despite ...
Frontiers

Development and validation of a prognostic model for acute-on-chronic liver failure

Liver reserve function indicators, particularly EHBF and ICG-R15, play a pivotal role in prognosticating HBV-ACLF outcomes. The developed model and its accompanying online tool enable accurate risk ...