The Brighterside of News on MSN

Generative AI increases risks of cyberattacks and data leaks

Machine-learning systems already shape ordinary parts of life, from spam filters to product recommendations and social media ...
Government Executive

NIST is giving fingerprint examiners better tools for a messy job

A newly annotated fingerprint dataset combined with open-source software could help forensic examiners work more consistently ...
The Scientist

From Data to Discovery: AI’s Expanding Role in Cancer Research

At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...

Google’s Weirdest AI Dataset Yet: Its Own Garbage

The search giant had previously created a machine learning data set out of food scraps from its kitchens. Now it’s partnering ...
Medical Device and Diagnostic Industry (MD+DI)

AI-Powered Atrial Fibrillation Detection: How Machine Learning Is Transforming Cardiac Care Through ECG Analysis

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...

Machine learning helps detect roars from lion collars without recording actual audio

Roaring over long distances is a key behavior of lions. They communicate within prides as well as with other animals using ...
EurekAlert!

One whale song unlocks oceans of data

A UNSW-led study demonstrates how a new tool can detect blue whale calls with almost 100% accuracy, despite only being trained on one sample song. The tool has the potential to transform how ...
Morning Overview on MSN

Many AI disease-risk models trained on flawed health data

Somewhere on Kaggle, the open data platform where anyone can upload a spreadsheet and call it a dataset, two files labeled as ...

Machine learning accelerates analysis of fusion materials

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...
GitHub

how-to-create-azure-machine-learning-dataset-from-open-dataset.md

In this article, you learn how to bring curated enrichment data into your local or remote machine learning experiments, with Azure Machine Learning datasets and Azure Open Datasets. With an Azure ...
IEEE

Quantum Machine Learning for Minimal Omics Datasets with Large Feature Space Using Embeddings and Feature Selection Techniques

Abstract: Despite the amount of omics data generated in the last decade, the low data regime remains a significant challenge in healthcare, particularly in clinical trials and the study of rare ...