AI HUM SOC TCH SPT JL J Lopez Why I trained 80 cars to race using nothing but mutation and selection *A short field report from building [f1-neuroevolution]: what gradient-free learning gets you, what it costs, and where the cars surprised…
MDA HUM AI LU Lucas Ciordas EvoGrad, Part 2: From Ideas to Implementation Building a Library for Hybrid Evolution–Gradient Learning
HUM AI TCH LU Lucas Ciordas EvoGrad, Part 1: Evolutionary Algorithms Meet Gradient Descent Pushing Gradient Descent Beyond Fixed Network Topologies
AI HUM EU Eugenii Shevchenko KAN-NEAT: Building Neural Networks with Learnable Edge Functions Why this matters: We are currently witnessing a shift in deep learning where the structure of the network is becoming just as important as…