Computer Weekly

Dutch researcher’s AI breakthrough tackles the structured data paradox

The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...
Tech Xplore

New RoboReward dataset and models automate robotic training and evaluation

The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...
Phys.org

Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
PC Gamer

Arc Raiders' use of AI highlights the tension and confusion over where machine learning ends and generative AI begins

RPG Larian's head writer has a simple answer for how AI-generated text helps development: 'It doesn't,' thanks to its best output being 'a 3/10 at best' worse than his worst drafts Graphics Cards 'It ...
IEEE

Intelligent Indian Twins Identification by MNIST Dataset Using Machine Learning

Abstract: This research provides a novel method for digitally differentiating identical and non-identical twins using machine learning. The main goal is to present a novel approach that, by applying ...
AZoOptics

Machine Learning in Small-Molecule Mass Spectrometry

In a recent review article published in the journal Annual Review of Analytical Chemistry, researchers highlighted the transformative role of machine learning (ML) in advancing mass spectrometry (MS) ...
IEEE

Optimizing Machine Learning Models for Resource-Constrained Environments: A Comprehensive Study of Compression and Quantization Across CIFAR-10, MNIST, and Fashion MNIST

Abstract: Integration of machine learning (ML) in resource-constrained environments, such as Internet of Things (IoT) devices, embedded systems, and mobile applications, has become one of the crucial ...