The common belief throughout the marketing and advertising world is that generative AI can produce striking visuals, but it struggles to match the performance and brand discipline of skilled human designers. New research published in the journal Marketing Science challenges that assumption, finding that a carefully designed AI system can outperform visuals created by humans, and it can outperform designs created by another AI model that was optimized solely on the basis of aesthetics.

What happens when companies on digital labor platforms no longer decide for themselves how much to pay their workers, but leave this to learning algorithms? Researchers at TU Darmstadt, Bielefeld University and the Université Côte d'Azur have demonstrated in computer simulations that, where only a few firms compete with one another, such artificial intelligence (AI) systems can "learn" to set wages at a very low level without communicating with one another or having been programmed to collude.

In a new paper, researchers explain how EU battery regulations can help lay the groundwork for a widely shared evidentiary system for global sustainability governance.

Une équipe scientifique vient de dévoiler MatrAIx, une infrastructure open source capable de simuler 8,3 milliards d’individualités virtuelles. Cette modélisation est essentiellement tournée vers le business, car le jumeau numérique de la population mondiale promet de révolutionner le test de...