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The Large Hadron Collider has helped scientists discover three never-before-seen particles

The Large Hadron Collider has helped scientists discover three never-before-seen particles

What’s the news ?: Deep learning is behind machine learning’s most profiled successes. But this incredible performance has a price: training deep learning models requires enormous amounts of energy. New research now shows how researchers who use cloud platforms to train algorithms can dramatically reduce the energy they use, and thus the emissions they create.

How can they do that ?: Simple changes to the cloud settings are key. Researchers created a tool that measures the power consumption of any machine learning program running on Azure, Microsoft’s cloud service, in each phase of the project. They estimated emissions based on the zip codes of servers running 11 machine learning models, and found that they can be significantly reduced if researchers adjust the settings to use servers in specific geographic locations and at specific times of the day.

The bigger picture: Getting people to choose to adjust their own settings is an uphill battle. Only 13% of Azure users running machine learning programs have looked at the energy measurement tool since it debuted in October, so the next step will be to convince the rest of them. Read the whole story.

– Tammy Xu

The world will need dozens of groundbreaking climate technologies over the next decade

We are living in a crucial decade. By 2030, global emissions must be halved, mainly through the massive use of existing technologies such as wind turbines, solar panels and electric vehicles. But emerging climate technologies must also come on the market during this decade, even if they do not do much about emissions right away.

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Those on this year’s list of MIT Technology Review Innovators under the 35 list seize the opportunity to decarbonize the economy and make the transition to clean energy affordable. Read more about their work and what it takes to help them succeed in this essay by Varun Sivaram, Senior Director of Clean Energy and Innovation for the United States Special Envoy for Climate Change, John Kerry.

This essay is part of the MIT Technology Review’s 2022 Innovators under 35 years of age package that recognizes the most promising young people working in technology today. See the full list here.

They must be read

I have scoured the internet to find today’s most funny / important / scary / fascinating stories about technology.

1 The leaked data of one billion Chinese was online for over a year
It was unnoticed in an unsecured database before a hacker offered to sell it. (CNN)

2 The Large Hadron Collider helped scientists find three new particles
The combinations have never been seen before. (Motherboard)
+ Do not fall for these misconceptions about Hadron Collider’s abilities. (Big Think)

3 How Wall Street emerged unscathed from the crypto massacre
It turns out that regulation, after all, is quite practical. (NEW $)
+ And it comes for crypto too. (Cable $)
+ Cryptocracy can be a setback for web3. (FT $)
+ Venture capitalists burned by the last decade of crazy growth are cautious. (Motherboard)
+ Black investors suffer the most. (FT $)
+ It’s okay to opt out of the crypto revolution. (MIT Technology Review)

4 Europe has green-lit Big Tech regulation
However, it will take a while before new laws come into force. (Axios)
+ The UK’s cyber security law has been adapted to prioritize the detection of child abuse material. (Forget it)
+ The Supreme Court’s EPA decision last week does not bode well for regulation in the United States. (Protocol)

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5 Microsoft still uses emotion-detecting AI
For an app for visually impaired people – despite widespread skepticism about the accuracy of the technology. (Protocol)
+ Emotion AI researchers say that exaggerated claims give their work a bad name. (MIT Technology Review)

6 How technology saves Sri Lanka’s besieged tourism industry
Including virtual leopard safari. (The rest of the world)

7 Humans are not meant to go to sleep
However, a handful of cases suggest that it may be possible to enter a porpoise-like state. (CNET)

8 Everything is a mood these days
Which suggests that it may be time for a change of mood – away from the vibes themselves. (The Atlantic $)

9 Sports in space are coming 🪐
No gravity? No problem. (WSJ $)
+ Can constant acceleration be used to produce artificial gravity in space? (MIT Technology Review)

Existential sadness of robots
Maybe it’s time to stop projecting our own feelings on them. (Forget it)
+ How we feel about robots that have it. (MIT Technology Review)
+ That said, they are pretty good surgeons. (IEEE Spectrum)

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