These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

The decision enraged opponents of abortion, who have been pressuring the Trump administration to restrict access to abortion medication. By Pam Belluck The Food and Drug Administration has approved a ...

Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns and to ...

We were unable to process your request. Please try again later. If you continue to have this issue please contact [email protected]. For the first time, a generic GLP-1 has been approved by ...

Generic versions of CSL’s iron replacement therapy Venofer have arrived in the U.S. after a yearslong wait. Monday, Viatris and Amphastar Pharmaceuticals both said they have received the FDA’s ...

Ever wondered how social media platforms decide how to fill our feeds? They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a ...

Generic brands, sometimes referred to as "private label" or "store brands," are increasingly popular today as shoppers face rising food prices in grocery stores. Some consumers believe these brands to ...

Inflation was high, economic growth was stagnant, and food prices were soaring: It was the 1970s, and everyone needed to eat to stay alive, but no one had any money. So a few enterprising grocery ...

Abstract: In this paper, we propose a generic, two-phase framework for solving constrained optimization problems using genetic algorithms. In the first phase of the algorithm, the objective function ...