First-ever black hole image sharpened using machine learning

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has ...

Philadelphia communities help AI machine learning get better at spotting gentrification

Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic ...
Drexel University

Philadelphia Communities Help AI Computer Vision Get Better at Spotting Gentrification

In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...

Glass Imaging Announces Availability of GlassAI™ RAW Video Neural ISP Pipeline on Qualcomm Chipsets

GlassAI Enables Real-Time RAW Video Processing on Snapdragon® 8 Elite (Gen 5) Platforms The Snapdragon 8 Elite (Gen 5) ...
Tech Critter

The Role of Advanced Storage Technologies in AI and Machine Learning

Artificial intelligence and machine learning have transformed how we process information, make decisions, and solve complex problems. Behind every ...
BioSpace

GE HealthCare unveils Pristina Recon DL for mammography – deep learning image reconstruction technology delivering clearer image quality

GE HealthCare has received FDA Premarket Authorization for Pristina Recon DL, an innovative 3D mammography reconstruction application. Powered by artificial intelligence (AI), Pristina Recon DL ...
Frontiers

Machine learning-assisted tongue image analysis for the diagnosis of Hashimoto’s thyroiditis

Objective: This study aims to evaluate the value of a machine learning model based on tongue features in the adjunctive diagnosis of Hashimoto’s thyroiditis (HT) and its concomitant hypothyroidism.
IEEE

Edge-PRUNE: A Dataflow-Based Framework for Distributed Signal Processing and Machine Learning

Abstract: Distributed sensing through video, audio, radar and other sensors is strongly growing with application areas such as smart homes and Internet of Things. The concept of edge computing ...
Scientific Research Publishing

Minaee, S., Boykov, Y.Y., Porikli, F., Plaza, A.J., Kehtarnavaz, N. and Terzopoulos, D. (2021) Image Segmentation Using Deep Learning: A Survey. IEEE Transactions on Pattern ...

ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...
Frontiers

Editorial: Explainable, trustworthy, and responsible AI in image processing

The tremendous growth of deep learning models, especially the success of generative AI and foundation models, has led to their deployment in several critical sectors, including biometric recognition, ...