AI startup CVector raises $5M for its industrial ‘nervous system’

Now, founders Richard Zhang and Tyler Ruggles are tasked with a bigger challenge: showing customers and investors how this AI-powered software layer translates to real savings on an industrial scale.
The New York Times

I’m Building an Algorithm That Doesn’t Rot Your Brain

Mr. Conte is the co-founder and chief executive of Patreon. The World Wide Web was introduced some three decades ago. Describing in 2019 the hopes that had been projected onto the internet at its ...
GitHub

BiRefNet C++ TENSORRT (Dichotomous Image Segmentation)

BiRefNet C++ TENSORRT is designed to efficiently run bilateral reference segmentation tasks on the GPU. By harnessing TensorRT’s optimizations and CUDA kernels, it aims to deliver state-of-the-art ...
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

Automatic detection and classification of igneous rock fractures from imaging logging using K-mean algorithm and DNN

Accurately identifying fracture zones and their types in strata is of great significance for enhancing oil and gas recovery efficiency. Due to its complicated geological structure and long-term ...
Scientific Research Publishing

Ng, H.P., Ong, S.H., Foong, K.W.C., Goh, P.S. and Nowinski, W.L. Medical Image Segmentation Using K-Means Clustering and Improved Watershed Algorithm. 2006 IEEE Southwest ...

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...
GitHub

-2001-05566--Image-Segmentation-Using-Deep-Learning--A-Survey.yaml

- en: 来源：[https://ar5iv.labs.arxiv.org/html/2001.05566](https://ar5iv.labs.arxiv.org/html/2001.05566) applications such as scene understanding, medical image ...
IEEE

Adaptive Semi-Supervised Fuzzy C-Means Method With Local Spatial Information and Pre-Clustering for Image Segmentation

Abstract: The semi-supervised fuzzy C-means clustering algorithm is an improved version of the fuzzy C-means algorithm, designed to utilize a small amount of supervised information to enhance the ...
eLife

A novel image segmentation method based on spatial autocorrelation identifies A-type potassium channel clusters in the thalamus

The manuscript introduces an important and innovative non-AI computational method for segmenting noisy grayscale images, with a particular focus on identifying immunostained potassium ion channel ...