Fundacja Dobre Państwo | Polski Smart Tank

Tłumaczymy złożoność współczesnego świata na język zrozumiały dla każdego. Analizy o demokracji, gospodarce i społeczeństwie.

GitHub - alexjc/neural-doodle: Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait.....

Who Invented Deep Residual Learning?

New release of eScience Center's explainable AI tool DIANNA   - eScience Center

DIANNA is an explainable AI (XAI) tool that helps researchers get insights into the predictions of Deep Neural Networks. New version released!

Bayes in the age of intelligent machines

The success of methods based on artificial neural networks in creating intelligent machines seems like it might pose a challenge to explanations of human cognition in terms of Bayesian inference. We argue that this is not the case, and that in fact these systems offer new opportunities for Bayesian modeling. Specifically, we argue that Bayesian models of cognition and artificial neural networks lie at different levels of analysis and are complementary modeling approaches, together offering a way to understand human cognition that spans these levels. We also argue that the same perspective can be applied to intelligent machines, where a Bayesian approach may be uniquely valuable in understanding the behavior of large, opaque artificial neural networks that are trained on proprietary data.

Ein Philosoph und ein Neurologe wetteten um die Natur des Bewusstseins

Vor 25 Jahren schlossen Christof Koch und David Chalmers eine Wette ab, ob sich das Bewusstsein wissenschaftlich erklären lässt. Nun wurde der Sieger gekürt