IEEE

Deep Learning based Safe Car Driving Experience Using Glaucoma Grading

Abstract: This paper presents a deep learning based approach to improve the accuracy of glaucoma detection using the EfficientNetB3, ResNet, and vison transformer (ViT) model. We propose a unique ...
IEEE

Exploring Machine Learning Techniques for Early Detection of Glaucoma

Abstract: One of the main causes of visual loss in the world is glaucoma. It is impossible to treat glaucoma when it is advanced. Therefore, early disease identification has become crucial in the ...
NPR

Teachers are using software to see if students used AI. What happens when it's wrong?

Ailsa Ostovitz has been accused of using AI on three assignments in two different classes this school year. "It's mentally exhausting because it's like I know this is my work," says Ostovitz, 17. "I ...
Microsoft

Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...
来自MSN

How glaucoma silently damages vision and importance of early detection

Danish intelligence report warns of US military threat under Trump 11-month-old puppy left at shelter with no info—then life changed forever 'Ella McCay' is a huge mess. Can we pretend it never ...
Frontiers

Enhanced surgical outcomes in refractory glaucoma: a retrospective study of using ...

1 Department of Ophthalmology, Jinan Second People’s Hospital, Jinan, China 2 Department of Ophthalmology, Qilu Hospital of Shandong University Dezhou Hospital, Dezhou, China Purpose: Evaluate the ...