Frontiers

Advanced AI for missing modality learning and uncertainty‑aware medical image analysis

Modern medical imaging increasingly relies on artificial intelligence to support detection, diagnosis, and prognostic ...
News-Medical.Net

Advancing 3D imaging, automation, and phenotypic discovery with AI-driven high-content screening

In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...
European Medical Journal

Machine Learning Links Gut Microbiome to Improved DVT Detection

AI model suggests deep vein thrombosis may be identified more accurately using gut microbiome profiles. Read more.
Intelligent CIO

Classiq and UC Chile launch quantum AI research for biomedical image analysis

Classiq and Pontificia Universidad Católica de Chile (UC Chile) have announced a joint research project to develop hybrid quantum algorithms for biomedical image analysis – assisted by classical ...
The Manila Times

WiMi Develops Quantum Convolutional Neural Network Model for Classical Data Classification

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...

Engineers test, validate novel method to improve pharmaceutical research and development

A patent-pending innovation created and validated in Purdue University's College of Engineering could strengthen pharmaceutical research and development in the areas of batch verification, ...
Purdue University

Purdue engineers test, validate novel method to improve pharmaceutical R&D

A patent-pending innovation created and validated in Purdue University’s College of Engineering could strengthen ...
IEEE

Neural-Response-Based Extreme Learning Machine for Image Classification

Abstract: This paper proposes a novel and simple multilayer feature learning method for image classification by employing the extreme learning machine (ELM). The proposed algorithm is composed of two ...
GitHub

Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
GitHub

Azure AutoML for Images - Image Classification

This repository contains Python notebooks demonstrating image classification using Azure AutoML for Images. These notebooks provide practical examples of building computer vision models for various ...
VentureBeat

Sakana introduces new AI architecture, ‘Continuous Thought Machines’ to make models reason with less guidance — like human brains

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Tokyo-based artificial intelligence startup ...
The New York Times

Nevada Asked A.I. Which Students Need Help. The Answer Caused an Outcry.

The new system cut the number of students deemed “at risk” in the state by 200,000, leading to tough moral and ethical questions over which children deserve extra assistance. By Troy Closson Nevada ...