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Grasping the complexities of physics can often be challenging in a learning environment. While our knowledge of physics helps to explain how the world works, many things about our physical universe remain mysterious, and can present challenges for scientists. Because of this, many are looking toward the promise of artificial intelligence (AI) in the years ahead, which could have an easier time understanding physics concepts than we do.

Currently, researchers at DeepMind, a UK-based tech company, have found that using videos to explain physics properties shows that their current AI system seems to have an intuitive curiosity for physics. However, that doesn’t mean they haven’t encountered a few challenges along the way.

Starting in 2010, DeepMind made a name for itself with the innovation of next-level AI programs and algorithms. The company was acquired by Google in 2014, allowing them to become even more enmeshed in the tech industry.

With different departments ranging from research to ethics, DeepMind tries to look at all impacts that an AI system may have on a company or industry. In their current testing phases, DeepMind has already succeeded in developing AI that can win chess games, and even write its own coding. Now, looking to advance this technology even further, DeepMind researcher Luis Piloto and his team decided to try to teach an AI system the fundamentals of physics. To do this, they created a specific AI called Physics Learning through Auto-encoding and Tracking Objects, or PLATO.

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