Tech Times

NVIDIA AI Trained Itself on a 30B Model: Corrected Its Own Broken Metric Mid-Run

Autonomous AI post-training reached frontier scale for the first time: NVIDIA researchers published a paper showing an AI ...

Liquid AI's smallest model yet LFM2.5-230M beats models 4X its size at data extraction, can run 'anywhere'

LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a ...

Small Language Models Outperform Frontier AI On Cost, Speed And Accuracy

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — and save money.

Your enterprise AI agents should automatically remember which model is right for which task. Mindstone built the capability with Rebel

The marquee features are its simplicity and extensive customizability to fit any given team, no matter how unique or specific the workflows, all based around the common, open source standard file ...
Insurance Business America

Inside the AI modeling race reshaping catastrophe risk

The actuarial methodology powering insurance risk models is advancing faster than most carriers realize. Here is what is ...
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 ...
The New York Times

Are Models Getting Even Skinnier?

The era of size inclusivity is seemingly over. Our critic traces the shift and hopes designers might learn from it. By Vanessa Friedman I know models have always been skinny, but it seems to me they ...
Nature

Compressive strength prediction of carbonated recycled aggregate concrete using regression based machine learning models

Carbonation treatment of recycled concrete aggregates (RCA) enhances aggregate performance while enabling CO₂ sequestration, thereby supporting sustainable construction practices. Despite the growing ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
KXAN

Career Growth Goes Global with Edchart’s Credly-Accredited Machine Learning Certification

Demonstrate mastery in programming innovative machine learning solutions, combining deep learning and code to transform data into intelligent insights for real-world impact Showcase your expertise in ...
Visual Studio Magazine

Kernel Ridge Regression with Stochastic Gradient Descent Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...