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newsApr 23, 20261:34

Sony's Robot Ace Crushes Humans in Ping-Pong

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Sonys robot, Ace, has made headlines by defeating human players in table tennis, marking a significant milestone in AI and robotics. Equipped with nine cameras and advanced vision systems, Ace uses event-based sensors and reinforcement learning to make split-second moves, outperforming even the humanoid Lightning. The robots unpredictable playstyle, devoid of tells or emotions, makes it a formidable opponent. Early applications of this technology are expected in factories and services, but the long-term goal is to integrate AI and robots in sports, entertainment, and high-stakes situations requiring quick human-robot teamwork.

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Sony's Robot Ace Crushes Humans in Ping-Pong

California News Today | 2 Min News | The Daily News Now!

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California News Today | 2 Min News | The Daily News Now!Sony's Robot Ace Crushes Humans in Ping-Pong. Machine-transcribed; use the interactive transcript above to jump the player to any line.

It's April 23rd. This is California News Today, local news powered by AI. Sony dropped the bombshow with their robot Ace, which just crushed expert-level humans at table tennis in Tokyo. This five-foot machine hit pro-performance in real matches, following international rules and refereed by licensed umpires. The breakthrough landed in the journal Nature this week, marking the first time a robot nailed a fast-paced sport, like ping-pong against top players. Ace packs nine cameras in three vision setups to track that spinning ball with insane speed. Its brain uses event-based sensors and reinforcement learning for split-second moves, outpacing even the humanoid lining that shattered the half marathon record in Beijing by nearly seven minutes. Sony's AI team built this while folks geeked out over their latest PlayStation gear. Players like Pro Mayuka Tyra called it tough because A-stays unpredictable with no tails or emotions to read. You can't spot its weak shots, making rallies extra brutal.

Matches went down mostly this year, including wins over pros as recent as March. Early uses could hit factories and services for precise tasks, but the studies eyeing sports, entertainment and high-stakes spots, needing quick, human robot teamwork. Think manufacturing lines or even safety ops, where timing is everything. As AI steps up in games like MLB's automated ball-strike calls be a Hawkeye cams, robots owning courts and fields feels closer, ping-pons just the start, blurring lines between tech feats and human hustle.

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