Variable selection is a pivotal step in statistical modelling and machine learning, aiming to identify the most informative predictors from high-dimensional data. Modern approaches frequently cast ...

IonQ shares slip as research with NVIDIA and ORNL shows generative models can cut quantum circuit tuning times and improve optimization performance at scale.

Before Lourie, Bryson, and Stark. Appeal from the Patent Trial and Appeal Board. Summary: Evidence that a claimed parameter is recognized as a result-effective variable can overcome the lack of ...

Optimizing any cooling plant for minimal energy consumption is a demanding science. In many cases, minimizing chiller plant energy consumption requires modifications to the plant design, including ...

Rather than requiring engineers to manually configure every step of an analysis, automation ensures that critical procedures are executed consistently. Simulations can be launched in batches, results ...

In this article, as in industry, advanced process control (APC) refers primarily to multi-variable control. Multivariable control means adjusting multiple single-loop controllers in unison, to meet ...

Discussed here is "routine optimization," an approach to obviousness in cases where the gap between the prior art and patent claims appears to be one that the hypothetical person of ordinary skill in ...