Latest in Algorithm

Image credit:

Tenacious robot ashamed of creator's performance, shows mankind how it's done (video)

Share
Tweet
Share
Save

Sponsored Links


Looks like researchers have made another step towards taking Skynet live: giving robots the groundwork for gloating. A Swiss team of misguided geniuses have developed learning algorithms that allow robot-kind to learn from human mistakes. Earthlings guide the robot through a flawed attempt at completing a task, such as catapulting a ball into a paper basket; the machine then extrapolates its goal, what went wrong in the human-guided example, and how to succeed, via trial and error. Rather than presuming human demonstrations represent a job well done, this new algorithm assumes all human examples are failures, ultimately using their bad examples to help the 'bot one-up its creators. Thankfully, the new algorithm is only being used with a single hyper-learning appendage; heaven forbid it should ever learn how to use the robot-internet.

All products recommended by Engadget are selected by our editorial team, independent of our parent company. Some of our stories include affiliate links. If you buy something through one of these links, we may earn an affiliate commission.
Share
Tweet
Share
Save

Popular on Engadget

Engadget's 2019 Back-to-School Guide

Engadget's 2019 Back-to-School Guide

View
Apple warns against storing its titanium credit card in leather

Apple warns against storing its titanium credit card in leather

View
Google's next Nest Mini speaker could be wall-mountable

Google's next Nest Mini speaker could be wall-mountable

View
Microsoft tests more control for apps that restart with Windows 10

Microsoft tests more control for apps that restart with Windows 10

View
Terminator T-800 and The Joker are coming to 'Mortal Kombat 11'

Terminator T-800 and The Joker are coming to 'Mortal Kombat 11'

View

From around the web

Page 1Page 1ear iconeye iconFill 23text filevr