AI framework fuses data and literature to speed high-entropy alloy discovery

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Sophelio Launches Data Fusion Labeler (dFL) to Accelerate Sensor Data Preparation for Machine Learning

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...
InfoWorld

AI-augmented data quality engineering

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...
IEEE

A Comparative Study of Battery SOH Prediction Models: Exploration of Transformer Method with Reversible Instance Normalisation

Abstract: Accurate estimation of the state of health (SOH) of batteries is of great importance for the safe and efficient operation of energy storage systems. However, data-driven methods are often ...
IEEE

Intelligent Resource Allocation in Cloud Environment via ML- Based Optimization Methods

Abstract: The dynamic nature of workloads and the need to maximise operating costs without sacrificing performance have made it more difficult to allocate resources efficiently in cloud computing ...