Project from NIck Nelson applies Neural Network learning to playing Mario Kart 64 with successful results:
This is NOT a human playing the game, it is in fact the program I wrote. It is a special kind of machine learning that models biological evolution to evolve “species” to find the optimal solution to the problem. In this case the problem is Mario Kart 64! This run is the result of about two days of training.
Code for the project can be found here
Great concepts for #entrepreneurs, #martialartists, and #visionaries. #FeynmanTechnique #simplify #genius
If you could talk to your childhood inspiration, what would you say?
Listen to Brian Lehrer’s full interview with LeVar Burton here.
Strange Beast, una especie de mini capítulo de “Black Mirror” sobre el futuro inmediato y el tema de mezclar realidad con realidad virtual/aumentada.
Se pueden activar subtítulos.
SP. Household robot calculates optimal move to win using artificial intelligence and augmented vision capabilities but does not tell anyone.
Bicentennial Man (1999)
“Making an AI machine play and be naturally curious is key”
- Mark Sagar, Academy Award-winning AI engineer on the future of AI in animation.
What’s next for AI? We spoke with 30 visionaries in AI to learn where they think the technology is heading.
See the full interview →
Illustration for the current issue of @wireduk, in which Jürgen Schmidhuber explains why human-level AI is within our reach.
Artificial Intelligence learns to beat Mario like crazy.
More than 400 U.S. school districts are using augmented reality to teach students. Is AR the future of education?
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SP. Gynoid (Fembot)
A.I. Artificial Intelligence (2001)