AI’s Memorization Crisis

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...
The American Journal of Managed Care

Convolutional Neural Network Improves MS Lesion Segmentation

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, making it more applicable in clinical settings. The algorithm outperformed ...
Reuters

French court probes TikTok on algorithms' risks regarding suicide

PARIS, Nov 4 (Reuters) - French judicial authorities said on Tuesday they had opened an investigation into Chinese social media platform TikTok and the risks that its algorithms could push young ...
Reuters

IBM says conventional AMD chips can run quantum computing error correction algorithm

SAN FRANCISCO, Oct 24 (Reuters) - IBM (IBM.N), opens new tab said on Friday it can run a key quantum computing error correction algorithm on commonly available chips ...
Frontiers

Evaluating the impact of different deface algorithms on deep learning segmentation software performance

Department of Radiation Oncology, Mayo Clinic, Phoenix, AZ, United States Introduction: Data sharing is essential for advancing research in radiation oncology, particularly for training artificial ...
Frontiers

Zero-shot instance segmentation for plant phenotyping in vertical farming with foundation models and VC-NMS

1 College of Mathematics and Computer Science, Dali University, Dali, China 2 School of Electronic Information, Xijing University, Xian, China Introduction: Image instance segmentation is essential ...
Scientific Research Publishing

Research on the Design of News Text Classification Algorithm Based on Bidirectional GRU Neural Network ()

School of Computer Science and Technology, Zhejiang Normal University, Jinhua, China. This study aims to design and implement an efficient news text classification system based on deep learning to ...
IEEE

Handwritten text segmentation using average longest path algorithm

Abstract: Offline handwritten text recognition is a very challenging problem. Aside from the large variation of different handwriting styles, neighboring characters within a word are usually connected ...