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.
GitHub

MLIP: Machine Learning Interatomic Potentials

mlip v2 introduces a targeted API redesign focused on greater modularity, flexibility, and user control, alongside many new features and quality-of-life improvements across training, inference, and ...
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 ...
Town & Country

Have the Culture Wars Come for Standardized Tests? Meet the New Conservative SAT

Starting this upcoming college admissions cycle, students applying to service academies such as West Point and the U.S. Naval Academy will be able to take a standardized test other than the SAT or ACT ...
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 ...
The New York Times

Why U.S. Test Scores Are in a ‘Generation-Long Decline’

The drops go beyond the pandemic and cut across income, geographic and racial divides, new data shows. By Claire Cain Miller Francesca Paris and Sarah Mervosh Something troubling is happening in U.S.
Wired

We Asked Coffee Pros to Blind Test Coffee Machines. The Results Were Surprising

What do you love about coffee? Is it the caffeine boost in the morning, the creamy sweetness of a cappuccino or latte, the bucket of filter coffee you can sip on all day, or the quick kick of a good ...
Frontiers

Bridging the gap: methodological challenges and innovations in systematic reviews of machine learning models in healthcare

Machine learning prediction models differ fundamentally from static medical interventions due to their data dependence, retraining, and temporal instability. Current systematic review methodologies ...