Robohub.org
 

Can Super Mario save artificial intelligence? | New Yorker

by
08 May 2013



share this:

MarioEarlier this month, Dr. Thomas Walter Murphy VII put out a machine that could learn to play not one game but many, without any specialized prior knowledge about any particular game. Murphy’s invention has been making the rounds on the Internet, and for anyone who was a fan of the original Nintendo, the video of its performance is a must-watch. The program conquers a number of original games, like Super Mario Brothers, where it manages to discover trick moves, attempt strategies, and push its way to the end of the game.

 

Read more: The New Yorker



tags:


Hallie Siegel robotics editor-at-large
Hallie Siegel robotics editor-at-large





Related posts :



Robot Talk Episode 101 – Christos Bergeles

In the latest episode of the Robot Talk podcast, Claire chatted to Christos Bergeles from King's College London about micro-surgical robots to deliver therapies deep inside the body.
06 December 2024, by

Robot Talk Episode 100 – Mini Rai

In the latest episode of the Robot Talk podcast, Claire chatted to Mini Rai from Orbit Rise about orbital and planetary robots.
29 November 2024, by

Robot Talk Episode 99 – Joe Wolfel

In the latest episode of the Robot Talk podcast, Claire chatted to Joe Wolfel from Terradepth about autonomous submersible robots for collecting ocean data.
22 November 2024, by

Robot Talk Episode 98 – Gabriella Pizzuto

In the latest episode of the Robot Talk podcast, Claire chatted to Gabriella Pizzuto from the University of Liverpool about intelligent robotic manipulators for laboratory automation.
15 November 2024, by

Online hands-on science communication training – sign up here!

Find out how to communicate about your work with experts from Robohub, AIhub, and IEEE Spectrum.
13 November 2024, by

Robot Talk Episode 97 – Pratap Tokekar

In the latest episode of the Robot Talk podcast, Claire chatted to Pratap Tokekar from the University of Maryland about how teams of robots with different capabilities can work together.
08 November 2024, by





Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association