Nature

Cell Image Classification Techniques Using Deep Learning

Deep learning has transformed the automated analysis of cell images by enabling high‐throughput, accurate classification of subcellular patterns and morphological features. Convolutional neural ...
Technology Networks

AI Applications in Phenotypic Screening

Explore how AI phenotypic screening transforms image-based drug discovery through advanced phenotypic data analysis and ...
Semiconductor Engineering

Using Deep Learning ADC For Defect Classification For Automatic Defect Inspection

In traditional semiconductor packaging, manual defect review after automated optical inspection (AOI) is an arduous task for operators and engineers, involving review of both good and bad die. It is ...
pv magazine International

PV fault detection method based on deep learning of aerial images

Conceived an international research group, the proposed model uses the convolutional neural network (CNN) architecture U-Net for image segmentation and the the CNN architecture InceptionV3-Net for ...
eWeek

Deep Learning vs Generative AI: Understanding the Key Differences

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
VentureBeat

Ten years in: Deep learning changed computer vision, but the classical elements still stand

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Computer Vision (CV) has evolved rapidly ...