Cell culture is a fundamental technology used in several fields, from basic research in life sciences to medical, energy, and material industries. The culture medium (a solution comprising various ...

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 ...

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 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 ...

Machine learning can enhance ARF outcome predictions but faces challenges like data quality, system heterogeneity, and clinician acceptance. High ARF mortality and mechanical ventilation risks ...

Like a pacemaker for the heart, nerve stimulation devices are implanted to send pulses of electricity to evoke activity in nerves throughout the body. These electrical stimulation devices have been ...

As more enterprises break into edge AI, practitioners of the fast-growing technology are trying to meet the challenges of optimizing machine learning for small devices. At the Edge AI conference this ...

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.

Machine learning models, also called artificial intelligence models, have made astonishing leaps in complexity in recent years and are entering the public realm en masse. Highly visible examples are ...

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 ...

As more enterprises break into edge AI, practitioners of the fast-growing technology are trying to meet the challenges of optimizing machine learning for small devices. At the Edge AI conference this ...