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AI robot can beat human table tennis pros

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Top News
Overview
 · 17h
A robot is beating human pros at table tennis. Its maker calls it a milestone for machines
A paddle-wielding robot is so adept at playing table tennis that it is posing a tough challenge to elite human players and sometimes defeating them, according to a new study that shows how advances in...

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 · 21h · on MSN
Robot Supreme? Table tennis clanker Ace beats elite human players in AI milestone
 · 5h
Robot vs. human. Watch robot beat elite players in ping pong
 · 1d
Ping-pong robot Ace makes history by beating top-level human players
Sony's AI robot, Ace, has achieved a significant milestone by competing against and sometimes defeating top-level human ping-pong players.

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CNET · 1d
Sony's New AI Robot Can Probably Beat You in Table Tennis
 · 20h
Japan: AI Robot Ace Beats Professional Human Table Tennis Players | Vantage on Firstpost
Scientific American
2d

A robot ran a half marathon faster than a human. Here’s why folding laundry is still harder

A premapped course, a crew of handlers and a world-beating time: here’s what this Beijing half marathon reveals about how far humanoid robots have come—and how far they haven’t
2don MSN

In a race between humans and robots, machines take the victory in a sign of advancements

BEIJING — It was not even close as a bright red Chinese humanoid named “Lightning” lived up to its name in a half-marathon pitting humans against robots, smoking its competition on Sunday
Hosted on MSN
4h

Sony's AI robot Ace defeats elite human table tennis players

Sony's AI-powered robot Ace has become the first autonomous system to reach expert-level performance in a fast-paced physical sport, defeating elite human table tennis players in Tokyo. Using nine synchronized cameras, event-based vision sensors, and model ...
Maine Public
33m

'Self-aware' robots can learn complex tasks by watching humans. Is that a good thing?

Scientists say they've made a key breakthrough that would allow robots to figure out complex tasks on their own — but experts say it raises questions about how much risk comes with letting robots be in charge of their own learning.
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