BEM is a versatile tool that allows designers, engineers and architects to predict building energy use during the design of new buildings and retrofits of old buildings. Rather than looking into our ...

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.

The role of data modeling in an AI-driven future The conversation also addressed the evolving landscape of data modeling, particularly the shift from the old school to the new school.

Methane (CH4) pyrolysis, a reaction that produces hydrogen without emitting carbon dioxide, often utilizes molten media ...

Uncertainty quantification (UQ) is a field of study that focuses on understanding, modeling, and reducing uncertainties in computational models and real-world systems. It is widely used in engineering ...

Let's examine the pros and cons of each approach while modeling your events and event propagation message design.

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

The car industry is evolving with the integration of agentic artificial intelligence (AI) in intelligent vehicles, revolutionizing the car manufacturing process through data-driven design and ...

A technical paper titled “Data-driven power modeling and monitoring via hardware performance counter tracking” was published ...