Meta’s AI division has been busy in recent months finding ways to make and . Now one of the company’s ML teams has created a tool that builds realistic musculoskeletal simulations that run up to 4,000 times faster than state-of-the-art prosthetics. , the company can train the models to do things like twirl pens and rotate objects.
At the moment, Meta sees the platform’s usefulness in two different ways. To start, there’s the obvious metaverse angle. Zuckerberg suggests MyoSuite could help the company develop more realistic avatars for applications like . Another more interesting use case could see researchers tapping the platform to develop new prosthetics, as well as novel surgery and rehabilitation techniques. To that end, Meta says it plans to open-source the model.
Meta isn’t the first company to think to use AI to improve prosthetics. , an independent team of researchers created a machine learning system that allowed them to quickly tune a robotic knee to an individual patient. That same year, Intel unveiled a “ that the company said would make prosthetic limbs more efficient.
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