Optometry Advisor

AAO: Machine Learning Outperforms Human Graders for Diagnosing Glaucoma

HealthDay News — Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the annual meeting of the American Academy of Ophthalmology, held from Oct.
IEEE

Neuromorphic Event Camera-Based Object Recognition and Grasping Position Detection Using a Transfer Learning-Enhanced Multi-Task Model

Abstract: Object recognition and grasping position detection are critical tasks in robotic manipulation, particularly when operating in dynamic and unstructured environments. This paper presents the ...

Machine Learning Can Forecast Which Stock Factors Will Outperform

Can machine learning predict which equity factors will outperform? A new study finds that machine learning models, especially ...
Tech Xplore

Microgrippers successfully developed to handle sub-millimeter-sized, complex objects

Miniaturized electronics and intricate objects require a certain finesse. Researchers have looked into the development of a ...
IEEE

Single-Domain Generalized Object Detection With Frequency Whitening and Contrastive Learning

Abstract: Single-Domain Generalization Object Detection (Single-DGOD) refers to training a model with only one source domain, enabling the model to generalize to any unseen domain. For instance, a ...