【Widow who Fell For Her Son’s Friend’s Stuff She Met On A Matching App (2025)】

Google's DeepMind wanted to push its AI to do Widow who Fell For Her Son’s Friend’s Stuff She Met On A Matching App (2025)more than just win all the time -- they wanted to teach it "sophisticated motor control" like jumping, crouching, and flipping.

SEE ALSO: Google wants to build 'people-centric' AI systems

As described in academic papers submitted last week, the company taught its AI body to climb over a wall, jump between planks, and get back up after falling. These are considered complex skills that allow the computer to navigate through a "rich environment."

In a blog post about the AI's new skills, the company said it trained the figures to handle diverse terrains (aka digital obstacle courses). It was able to develop skills to handle those obstacles "without receiving specific instructions, an approach that can be applied to train our systems for multiple, distinct simulated bodies."

Mashable Light Speed Want more out-of-this world tech, space and science stories? Sign up for Mashable's weekly Light Speed newsletter. By clicking Sign Me Up, you confirm you are 16+ and agree to our Terms of Use and Privacy Policy. Thanks for signing up!

The figure doesn't just walk forward, but can jump over obstacles, get over gaps and spaces, and basically become a parkour master. In the post, the AI team said their goal is to "produce flexible and natural behaviours that can be reused and adapted to solve tasks."

Parkour!

Original image replaced with Mashable logoOriginal image has been replaced. Credit: Mashable
Featured Video For You

Topics Artificial Intelligence

Latest Articles

Recent Articles

Editor's Picks

Fan Articles