Ever since it arrived in the cyberpunk universe, Dream Machine has had an unrivaled place in pop culture, with some notable users, the likes of Mary Shelley and John Carpenter. For some reason, the classic film The Terminator made the leap to a social media age.

Today, in a world of rapid robotics, Walter Cronkite is probably more useful than Arthur C. Clarke. It takes far more work to do some computer animation than it does to act the part of a man in a wheel chair doing another man’s work. It’s certainly not the most polished of cronuts.

Last night, Oliver Spare burst onto the internet, with this cute robot called Terminator Girl. Spare, a professor of computer sciences at Carnegie Mellon University (CMU), has been studying various robot image recognition capabilities, and what he discovered has been fantastic for the group.

So how good is this robot really? Well, according to Spare, the team at the CMU explained that “more than 99 percent of visual response capability can be obtained by using a machine learning technique,” with 93 percent of those processes being “transitioned from simulation to ‘simulated vision.’”

Of course, in this bot, it is all super clear: “The principles are simple. If we can set out definition criteria on the task, we can create sophisticated models.” In other words, Spare and his team’s work is cutting edge in the computer vision community. Not only is it an achievement in both real life sense and the realm of video games, but it fits right in with the current trend in digital apps and web browsers, which has grown rapidly over the past decade.

We do know that AI is on the move, and it’s not going anywhere. On a meta level, Spare’s work shows that the original work continues to fuel the current crop of computing advancements.

Related: AI usefulness is expanding through Robot Automation and Aerospace

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Originally published on The Simple Switch.