Ophthalmology Advisor

AI Model Detects Cataracts From Slit Lamp Images With High Accuracy

Investigators developed and validated a masked autoencoder deep learning model using vision transformer technology to automate the detection and grading of nuclear cataracts from slit-lamp images.

Former DeepMind researchers bet on visual AI with new Palo Alto startup

Researcher Andrew Dai believes that the artificial intelligence models at big labs have the intelligence of a 3-year-old kid, ...
Tech Xplore

Using AI models to detect sinkhole trouble

Researchers at the University of Florida are developing artificial intelligence models to pinpoint early signs of sinkholes ...
CNET

Meta Unveils New AI Model Developed by Costly, New Superintelligence Labs

The new model, known as Muse Spark, was created by Meta Superintelligence Labs, a team of expensive AI leaders and developers ...

Goodbye, Llama? Meta launches new proprietary AI model Muse Spark — first since Superintelligence Labs' formation

Meta reports that Muse Spark achieves its reasoning capabilities using over an order of magnitude less compute than Llama 4 ...
IEEE

Heatmap Visualization for Deep Learning Analysis of Waste Printed Circuit Boards

Abstract: Waste Printed Circuit Boards (WPCBs) are complex multi-material assemblies that present challenges for automated recycling and Critical Raw Material (CRMs) recovery. Visualization of the ...
IEEE

An Ensemble Deep Transfer Learning Approach for Classifying COVID-19, Pneumonia, and Healthy Lungs in Chest X-ray Images with GRAD-CAM Visualization

Abstract: COVID-19 and pneumonia both affect the human respiratory system and can cause symptoms ranging from mild respiratory issues to severe conditions. Radiological imaging techniques such as ...