Elon Musk’s A.I. Is Generating Sexualized Images of Real People, Fueling Outrage

Late Thursday, Mr. Musk’s chatbot, Grok, limited requests for A.I.-generated images on X to paid subscribers of the social ...
IEEE

Improved Deep Learning-Based Microwave Inversion With Experimental Training Data

Abstract: Deep learning-based inversion methods show great promise. The most common way to develop deep learning inversion techniques is to use synthetic (i.e., computationally-generated) data for ...
blockchain

PyTorch for Deep Learning Professional Certificate Launches: Advanced AI Skills and Deployment Training

According to DeepLearning.AI (@DeepLearningAI), the new PyTorch for Deep Learning Professional Certificate, led by Laurence Moroney, provides in-depth, practical training on building, optimizing, and ...
The New York Times

Big Tech Makes Cal State Its A.I. Training Ground

Spurred by titans like Amazon and OpenAI, California State wants to become the nation’s “largest A.I.-empowered” university. Spurred by titans like Amazon and OpenAI, California State wants to become ...
C&EN

Leveraging Deep Learning to Address Diagnostic Challenges with Insufficient Image Data

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...
GitHub

Remote Sensing Image Acquisition, Analysis, and Applications – Learning Notes

This repository documents my complete learning journey through the Coursera course Remote Sensing Image Acquisition, Analysis, and Applications. It is part of my broader PhD preparation plan in ...
Frontiers

Deep learning-based classification of multiple fundus diseases using ultra-widefield images

1 Department of ophthalmology, JiuJiang City Key Laboratory of Cell Therapy, Jiujiang No. 1 People’s Hospital, JiuJiang, Jiangxi, China 2 Department of Otolaryngology, The Seventh Affiliated Hospital, ...
Frontiers

Deep learning for steganalysis: evaluating model robustness against image transformations

This study investigates the robustness of deep learning-based steganalysis models against common image transformations because most literature has not paid enough attention to resilience assessment.
VentureBeat

Breaking the data bottleneck: Salesforce’s ProVision speeds multimodal AI training with image scene graphs

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As enterprises around the world double down on their AI projects, the ...