Keeping long-term climate simulations stable and accurate with a new AI approach

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...
EurekAlert!

AI model can read and diagnose a brain MRI in seconds

An AI-powered model developed at University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests. It detected neurological conditions with up to 97.5% accuracy and ...

AI model reads brain MRIs in seconds, hitting up to 97.5% accuracy

An AI-powered model developed at the University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests. The model detected neurological conditions with up to 97.5% ...

This AI Diagnoses Brain Disorders in Seconds

A powerful new AI called Prima can read brain MRIs in seconds, diagnosing neurological conditions with up to 97.5% accuracy ...
Psychology Today

AI Foundation Model Predicts Diseases From Brain Scans

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

Simulations and experiments meet: Machine learning predicts gold nanocluster structures

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...
IEEE

Machine Learning Techniques to Improve the Cognitive Workload Classification Using Multimodal Sensors’ Data

Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...
Microsoft

Microsoft Purview data security capabilities

Adopt a unified approach with integrated data security solutions that help you discover and protect data across your organization. Dynamically secure data across platforms, devices, generative AI ...
IEEE

Mitigating Poisoning Attacks in Federated Learning Through Deep One-Class Classification

Abstract: Federated learning (FL) enables clients to learn a machine learning model collaboratively without sharing their private local data to the server. However, due to its distributed structure, ...