13 action movie masterpieces so great that they became the blueprint

When it comes to action thrillers, the films on this list are simply exceptional. So much so that they've become the ...

Intel's new gaming CPU wipes the floor with AMD, with up to 78% higher performance in Cyberpunk 2077

Thanks to its hugely powerful new integrated Xe3 GPU, the Intel Panther Lake laptop CPU series has stolen a surprise victory ...
EurekAlert!

Beyond small data limitations: Transfer learning-enabled framework for predicting mechanical properties of aluminum matrix composites

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences (CAS), has developed an innovative machine learning framework ...
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 ...
Kotaku

This Performance Beast From Dell Is 70% Off on Amazon, Now Priced Like a Basic Mid-Range Machine

This article is part of Kotaku Deals, produced separately from the editorial team. We may earn a commission when you buy through links on the site. Finding a laptop that can handle everything from pro ...
Frontiers

Prediction of compressive strength of high-performance concrete based on multiple machine learning models

1 Architectural and Civil Engineering, Jinken College of Technology, Nanjing, Jiangsu, China 2 College of Civil Engineering and Architecture, Xinjiang University, Urumqi, Xinjiang, China Therefore, ...
Hosted on MSN

Mustang Mach E Driving Performance and Range

We take the Mustang Mach E on the road to test acceleration, handling, and real-world efficiency. With impressive range, all-wheel drive capability, and responsive performance, this EV shows how Ford ...
IEEE

Group-Sparse Inductive Matrix Completion through Transfer Learning

Abstract: The emergence of big data has enabled the creation of significant models by allowing the storage of large data volumes. Transfer learning is a machine learning technique that transfers ...
marktechpost

Building and Optimizing Intelligent Machine Learning Pipelines with TPOT for Complete Automation and Performance Enhancement

We begin this tutorial to demonstrate how to harness TPOT to automate and optimize machine learning pipelines practically. By working directly in Google Colab, we ensure the setup is lightweight, ...