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Four Unusual Olympic Sports Featured

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Through the eyes of Paula...

With the Rio 2016 Summer Olympics approaching quickly, it may interest some people to learn about some lesser known Olympic sports. To take a break from the well-known events, one can take a chance on watching and learning about a different event. Here are a few unusual Olympic sports.

1. Judo: Judo is a gentle way for athletes to take their opponents down – gentle as in not involving kicking or punching. This martial art uses a combination of throws and muscle power. This year marks 52 years since judo was introduced in the Olympics.

2. Rugby: Rugby may be unusual only because it has been absent from the Olympics for decades. The top contenders for the top prize are the Canadian and American women’s teams.

3. Field hockey: Field hockey is the only Olympic team sport in which there are medalists from all inhabited continents of the world. Historically played on grass, the international federation modified it to be played on a synthetic surface to provide a faster pace for flicking or chasing the ball. At Rio 2016, teams will compete in 15-minute quarters rather than 35-minute halves.

4. Trampoline gymnastics: Trampoline gymnastics only made its debut at the Sydney 2000 games, which is fairly recent. Competitors can compete solo or in teams, and they must execute an array of twists, turns, and other aerial feats while completing 10 bounces that put their bodies several metres above a trampoline. 

Read 8828815 times Last modified on Wednesday, 02 August 2017 10:34
Monday, 25 July 2016 20:00

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    Dauner explained. “But this just makes their responses even longer, expending more energy to generate each word.”

    For this reason, Dauner suggests users be more straightforward when communicating with AI models. Specify the length of the answer you want and limit it to one or two sentences, or say you don’t need an explanation at all.

    Most important, Dauner’s study highlights that not all AI models are created equally, said Sasha Luccioni, the climate lead at AI company Hugging Face, in an email. Users looking to reduce their carbon footprint can be more intentional about which model they chose for which task.

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    Why it’s hard to measure AI’s environmental impact
    Putting a number on the environmental impact of AI has proved challenging.

    The study noted that energy consumption can vary based on the user’s proximity to local energy grids and the hardware used to run AI models.
    That’s partly why the researchers chose to represent carbon emissions within a range, Dauner said.

    Furthermore, many AI companies don’t share information about their energy consumption — or details like server size or optimization techniques that could help researchers estimate energy consumption, said Shaolei Ren, an associate professor of electrical and computer engineering at the University of California, Riverside who studies AI’s water consumption.

    “You can’t really say AI consumes this much energy or water on average — that’s just not meaningful. We need to look at each individual model and then (examine what it uses) for each task,” Ren said.

    One way AI companies could be more transparent is by disclosing the amount of carbon emissions associated with each prompt, Dauner suggested.

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    “It’s true that both plants are not yet operating at the capacity we originally targeted,” said the Climeworks spokesperson.
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    “Like all transformative innovations, progress is iterative, and some steps may take longer than anticipated,” they said.

    The company’s prospective third plant in Louisiana aims to remove 1 million tons of carbon a year by 2030, but it’s uncertain whether construction will proceed under the Trump administration.

    A Department of Energy spokesperson said a department-wide review was underway “to ensure all activities follow the law, comply with applicable court orders and align with the Trump administration’s priorities.” The government has a mandate “to unleash ‘American Energy Dominance’,” they added.

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