New method separates brain signals to show how complex actions are organized

A new Northwestern Medicine study has introduced a novel machine learning method for analyzing how the brain organizes ...
Tech Xplore

Self-driving cars: Near-miss driving data can expedite AV algorithm training

The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...
JD Supra

IP Hot Topic: Incident to the Very Nature of Machine Learning – Federal Circuit Says Training Data Alone Won’t Rescue AI Patent Claims

On July 7, 2026, the Federal Circuit affirmed summary judgment that claims of two machine learning patents covering orthodontic image analysis ...
Eos

Comparing Machine Learning Models of Raindrop Formation

Better simulations of raindrop formation could help improve climate and weather models. This newsletter rocks. Get the most ...
IPWatchdog

Federal Circuit Finds Deep Learning Patents Ineligible

“A deep learning device be trained on a specific subset of data is incident to the very nature of machine learning.” – Federal Circuit The U.S. Court of Appeals for the Federal Circuit (CAFC) issued a ...
IEEE

3198-2025 - IEEE Standard for Evaluation Method of Machine Learning Fairness

Abstract: A method for evaluating the fairness of machine learning is specified in this standard. Multiple causes contribute to the unfairness of machine learning. These causes of machine learning ...
inews.co.uk

The day I scared my son away from home – and learned to be a better father

I still carry a deep shame within me. As my son lay down in the middle of the stairs, refusing to move, I lost my temper. Yes ...
Phys.org

Machine-learning method maps the uncertainty of biodiversity scenarios: The Bigfoot connection

To effectively protect biodiversity in an era of climate change, ecologists first have to know where animal and plant species are located and then be able to predict what habitats will be available to ...
The Lancet

When to and when not to use machine learning in risk prediction models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...