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Category: robotics/AI – Page 1,511

The AI revolution is here. Machine learning (ML) and artificial intelligence are used in virtually every industry today to revolutionize everything from reducing food waste to achieving better health outcomes. In all, IDC forecasts that global enterprise spending on AI will eclipse $204 billion by 2025.

Unfortunately, investments in needed infrastructure may not be keeping pace. Many enterprises are shipping AI blind or relying on outdated model monitoring approaches to catch issues with models in production.

In order to understand the scope of the problem and provide insights on potential solutions, Arize AI recently conducted a survey of 945 data scientists, engineers, executives, and others in the industry. The results speak to a distinct need for better tools to quickly visualize where and why problems are emerging and enable faster root cause analysis when models fail.

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As if drive-through ordering wasn’t frustrating enough already, now we might have a Siri-like AI to contend with. McDonald’s just rolled out a voice recognition system at 10 drive-throughs in Chicago, expanding from the solitary test store they launched a few years ago.

But when will it come to your neighborhood Golden Arches?

“There is a big leap between going from 10 restaurants in Chicago to 14,000 restaurants across the U.S. with an infinite number of promo permutations, menu permutations, dialect permutations, weather — I mean, on and on and on and on,” admitted McDonald’s CEO Chris Kempczinski, reports Nation’s Restaurant News.

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Machine learning, a form of artificial intelligence, vastly speeds up computational tasks and enables new technology in areas as broad as speech and image recognition, self-driving cars, stock market trading and medical diagnosis.

Before going to work on a given task, algorithms typically need to be trained on pre-existing data so they can learn to make fast and accurate predictions about future scenarios on their own. But what if the job is a completely new one, with no data available for training?

Now, researchers at the Department of Energy’s SLAC National Accelerator Laboratory have demonstrated that they can use machine learning to optimize the performance of particle accelerators by teaching the algorithms the basic principles behind operations—no prior data needed.

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You are on the PRO Robots channel and today we have selected for you the strangest and most amazing robots. Giant robots, robot transformers, flying humanoids, exoskeletons that give superpowers, robot skiers, a new robot for space and much more. Watch the TOP of the newest, strangest and most unusual robots in the world! Watch the video till the end and write in the comments, which robot surprised you more than others?

0:00 In this video.
0:22 RH5 Manus.
1:17 NINA from Doosan Robotics.
1:53 GENTLE MONSTER
2:24 LEO robot.
3:21 CRAM Robot.
3:55 ATOUN
4:23 Guardian GT
4:56 Flying humanoids.
5:22 Jet-HR2
5:35 NABi.
6:01 ALFRED The Four Legged Robot.
6:20 Aquanaut.
7:06 ANYmal robot.
7:50 Max robot.
8:30 The Mountain Skiing Robot.
9:03 A doughnut drone from Cleo Robotics.
9:19 A folding drone.
10:26 Drone bug.
10:42 SqUID warehouse robot.

#prorobots #robots #robot #futuretechnologies #robotics.

More interesting and useful content:

Continue reading “Who Built Them And Why? | The Top Weirdest Robots” | >

A 19-year-old has turned down the offer of a free Tesla Model 3 in return for deleting his Twitter account which tracks the location of Elon Musk’s private jet.

College freshman Jack Sweeney manages a Twitter account called @ElonJet which tracks the aircraft using bots to detect air traffic data.

Musk had previously asked for Sweeney to take the account down earlier in the fall in exchange for $5,000 but he ultimately refused and asked for an internship instead, he previously told DailyMail.com.

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