This article explores new workflows using data-driven modeling to improve culture medium and new control algorithms allowing for better modulation within the bioprocess design space.

Governing equations in the form of ordinary and partial differential equations are valuable models for physical systems. However they can be difficult to derive, making them unknown, particularly for ...

Researchers have developed a groundbreaking data-driven model to predict the dehydrogenation barriers of magnesium hydride, a promising material for solid-state hydrogen storage. This advancement ...

These models can also be combined to allow for hybrid modeling in which data-driven models can substitute unknown equations to fill the gap in understanding. To produce a data-driven model requires ...

While not a silver bullet solution to attribution, a data-driven model provides better insights for advertisers. Learn more here.

Over the past decade, firms have taken the plunge to become data driven. They have amassed data, invested in technologies, and paid handsomely for analytical talent. Yet for many, a strong, data ...

Digitalization is transforming everything, and as a part of this, the technology-driven economic model (TDEM) continues to evolve. You may have heard of this model as a technology-based economy model.