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

The organizations winning in 2026 will be companies whose product data is prepared for the algorithms powering procurement ...

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

Artificial intelligence has a pivotal role in our lives, but the retail landscape has shifted from search optimization to the ...

Abstract: Privacy preservation and communication efficiency are two critical issues in making intelligent transportation systems (ITSs) come true. Owning to the ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.

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 numbers tell a striking story. Forty-three percent of companies now use AI for hiring—nearly double last year's 26%. Yet only 26% of applicants trust these systems to evaluate them fairly, and 66% ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...