The question of what constitutes truth is increasingly relevant in today's media landscape, where narratives often overshadow facts. To make informed decisions, individuals must develop strong fact-checking and critical thinking skills.
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Hell, the most sophisticated AI systems have a very good chance against top players in the incredibly complicated game of Go. But, in the uber-complicated car-based soccer game of Rocket League, can an AI do a boosted 360 aerial bicycle kick power shot from the midline? Can it pinch a ball off the side ramp so precisely it sails into the goal at 145 km/h? No, at least not yet, but AI can apparently dribble like a madman.
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"Many computer games are expensive and require a lot of data and power. We need games that require little computing power to train algorithms in industrial environments," says Per-Arne Andersen, assistant professor at the University of Agder's Department of ICT. He recently earned his PhD with a thesis on how artificial intelligence in computer games can function well even if there is not much computing power.
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For many years, storytelling was often seen as one of the weaker selling points of any video game. At first, video games didn't replicate real-world experiences in any meaningful way; they simply played with your senses with vibrant colors and tested your hand-eye coordination.
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The most powerful AIs today still rely on having certain known rules, like rules for a game of chess or Go. Human learning is often messy in inferential, learning the rules of life as we go. DeepMind has long been trying to create such AIs using games as their environment and test suite. Google's sister company focusing on AI research has just revealed its latest achievement in MuZero, an AI that can master a game without learning the rules beforehand.
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An algorithm could always have perfect knowledge of the state of the game and know every possible move that both it and its opponent could make. The new system, which DeepMind is calling MuZero, is based in part on DeepMind's work with the AlphaZero AI, which taught itself to master rule-based games like chess and Go. But MuZero also adds a new twist that makes it substantially more flexible.
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Reinforcement learning has even been shown to be effective when finding better solutions for tax policies and equality, as seen with Saleforce.com's AI Economist.
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Not only is the user prompting the device, but since the device is a goal-based AI agent wanting to motivate the user to be more connected and engaged in the world around him, she'll proactively initiate interactions that will promote the agent's goals.
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Demonstrating once again the potential of video games to advance AI and machine learning research, Facebook researchers propose a game-like language challenge - Read to Fight Monsters - in a paper that the International Conference on Learning Representations 2020 accepted.
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