The cloud has become the de facto standard for application deployment. Kubernetes has become the de facto standard for application deployment. Optimally tuning applications deployed on Kubernetes is a ...

How can machine learning be improved to provide better efficiency in the future? This is what a recent study published in Nature Communications hopes to address as a team of researchers from The Ohio ...

Including prediction stability as a parameter when using machine learning to design functional biological sequences can significantly improve the selection pool of antibodies, according to a recent ...

This week’s Top 10 looks at the applications of machine learning in the energy sector, spotlighting those leading the way ...

In today's digital landscape, delivering personalised experiences is key to engaging users and driving business growth. Location-based personalisation has emerged as an effective strategy for brands ...

Fluid mixing is an important part of several industrial processes and chemical reactions. However, the process often relies on trial-and-error-based experiments instead of mathematical optimization.

The use of artificial intelligence and machine learning (ML) to drive business transformation and reimagine customer experiences has become ubiquitous across industries and throughout organizations ...

Machine learning is usually applied to huge datasets, but researchers from the ETH Zurich in Switzerland are using it to reduce the number of experiments needed for biopharmaceutical formulation.

A new machine learning model that estimates optimal treatment timing for sepsis could pave the way for support tools that help physicians personalize treatment decisions at the patient bedside, ...