Evolving toxicity assessments for engineered nanoparticles underline the importance of predictive models and life-cycle risk ...

According to MarketsandMarkets™, the Advanced Analytics Market is projected to grow from USD 97.17 billion in 2026 to USD 193 ...

Despite decades of research, the mechanisms behind fast flashes of insight that change how a person perceives their world, ...

With the aim of transforming the design of plastic materials, AIMPLAS, the Technology Center, has launched the POLY-ML project, an R&D initiative that applies advanced machine learning techniques to ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

This project presents an exhaustive analysis of machine learning techniques for detecting malicious PDF files. By comparing the performance of four binary classification models - Support Vector ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

This is an open collection of methodologies, tools and step by step instructions to help with successful training and fine-tuning of large language models and multi-modal models and their inference.

The 2024 Nobel Prize in Physics was given to John Hopfield and Geoffrey Hinton for development of techniques that laid the foundation for revolutionary advances in ...