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 ...

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 ...

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 ...

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.

In a recent article published in eClinicalMedicine, researchers propose a novel predictive model based on machine learning (ML) for the early prediction of adverse events (AEs), such as cardiac arrest ...

Artificial intelligence (AI) and machine learning (ML) have emerged as transformative forces in the field of cardiovascular medicine. The increasing ...

Mixing of fluids is a critical component in many industrial and chemical processes. Pharmaceutical mixing and chemical reactions, for instance, may require homogeneous fluid mixing. Achieving this ...