What Happens To AI Training Data After The Model Is Built?

It's not just about making AI smarter, but also about making sure people can trust it and understand how it works.
News-Medical.Net

Revolutionizing calibration: How Lumo uses machine learning to streamline E&L screening and toxicological risk assessment

Lumo leverages advanced machine learning to reduce calibration time, and flag low-confidence response factor predictions.
BMJ

Generalisable artificial intelligence ECG trained on public data for outcome prediction after transcatheter aortic valve replacement

Background Artificial intelligence ECG (AI-ECG) models can predict cardiovascular outcomes, but their clinical adoption is limited by restricted access to training data and uncertain generalisability.
IEEE

Salary Prediction for Employees: A Machine Learning-Based Approach

Abstract: This study aims to develop a model for predicting employee salaries using machine learning algorithms. The study uses a dataset that includes factors such as years of experience, age, gender ...
IEEE

PEGAT: Prediction Error-Guided Adversarial Training to Enhance Robustness of Deep Learning Models in Autonomous Vehicles

Abstract: Adversarial training is a widely used method to improve the robustness of deep learning models in various applications. Although adversarial training enhances the robustness of the target ...
NPR

Kids' test scores began declining way before COVID. These schools are making gains

The pandemic-era backslide in math and reading scores for students across the U.S. was not a sudden catastrophe but the continuation of a brutal, decade-long "learning recession" that began years ...