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From AbelsonTaylor’s Health, Lies, and Motherhood anthropologic study validated by 400 moms, and presented at the Marketing 2 Moms Conference Being a mom comes with unimaginable joy, right? Well, yes. But unexpected are those unfathomable moments of sheer freak-out. She’s responsible for the health, well-being, and moral grounding of another human so vulnerability comes with the territory. And when it comes to her kid’s health and wellness, those feelings of vulnerability can reach DEFCON level 1. In fact, there’s a direct correlation between her kid’s health and wellness and her perceived job performance. These vulnerabilities combined with the ever-present mom judgment can put pressure on her to get it just right. It’s not enough to just be good at this job; she has to appear to be good at it too, even by faking it. This is where health and wellness brands are uniquely positioned to help her and gain her loyalty in a way that no other category can, but the path to getting there isn’t what you’d expect.

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Neuroevolution is subcategory of machine learning that applies evolutionary computation to generate artificial neural networks. Most neural networks these days are trained using the backpropagation algorithm. Backpropagation isn’t always feasible, especially in scenarios where a training set of sufficient size is not available like artificial life or evolutionary robotics. Backpropagation also puts a lot of constraints on the topology of the network such as the number of hidden layers need to be known in advance, the activation function must be differentiable, the network must be fully connected and recurrent connections are not allowed. In this talk, Jeroen Soeters takes you on a journey where we first explore the foundation of artificial neural networks and evolutionary computation. In the latter half we then learn how to combine the two and create a general-purpose platform for neural network based systems from cleaning robots to financial oracles.

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