What’s the news ?: Deep learning is behind the most outstanding achievements of machine learning. But this incredible performance comes at a cost: training deep learning models requires large amounts of energy. Now, new research shows how scientists who use cloud platforms to train algorithms can drastically reduce the energy they use and therefore the emissions they create.
How can they do that ?: Simple changes to the cloud configuration are key. The researchers created a tool that measures the electricity usage of any machine learning program running on Azure, Microsoft’s cloud service, during each phase of their 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 adjusted settings to use servers in specific geographic locations and at certain times of the day.
The largest image: Making people choose to adjust their own setup is a tough battle. Only 13% of Azure users running machine learning programs have looked at the power measurement tool since it premiered in October, so the next step will be to convince the rest. Read the whole story.
The world will need dozens of innovative climate technologies over the next decade
We live in a crucial decade. By 2030, global emissions should be halved, mainly due to the massive deployment of existing technologies such as wind turbines, solar panels and electric vehicles. But emerging climate technologies must also hit the market during this decade, even if they don’t affect emissions immediately.
Those on this year’s list of MIT’s technology review innovators on the under-35 list are seizing 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, the senior director of clean energy and innovation for the U.S. presidential special envoy for climate change, John Kerry.
This essay is part of the MIT Technology Review’s 2022 Innovators under 35 years package that recognizes the most promising young people working in today’s technology. See the full list here.
I combed the internet to find you the funniest / most important / scary and fascinating stories about technology.
1 The leaked data of one billion Chinese were online for more than a year
It went 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 had never been seen before. (motherboard)
+ Don’t fall into these misconceptions about Hadron Collider’s abilities. (Great thought)
3 How Wall Street came out unscathed from the cryptographic massacre
It turns out that regulation is pretty useful after all. (NYT $)
+ And it also comes by crypto. (cable $)
+ The cryptographic error could be a setback for web3. (FT $)
+ Venture capitalists burned by the last decade of crazy growth are cautious. (motherboard)
+ Black investors are the ones suffering the most. (FT $)
+ It is good to opt for the cryptographic revolution. (MIT Technology Review)
4 Europe has Big Tech regulation of green light
However, it will be some time before new laws come into force. (Axios)
+ UK online safety law has been adjusted to prioritize the detection of child abuse material. (The Guardian)
+ The Supreme Court’s EPA ruling last week does not bode well for regulation in the U.S. (Protocol)
5 Microsoft still uses AI to detect emotions
For an application for people with vision loss, despite widespread skepticism about the accuracy of the technology. (Protocol)
+ Emotion AI researchers say exaggerated claims give a bad name to their work. (MIT Technology Review)
6 How technology is saving the besieged tourism industry in Sri Lanka
Including leopard virtual safaris. (Rest of the world)
7 Humans are not supposed to hibernate
But a handful of cases suggest that it may be possible to enter a torpor-like state. (CNET)
8 Everything is a vibration these days
Which suggests it might be time for a vibration change, away from the vibrations themselves. (The Atlantic $)
9 Sports in space are approaching 🪐
Without gravity? No problem. (WSJ $)
+ Can constant acceleration be used to produce artificial gravity in space? (MIT Technology Review)
10 The existential sadness of robots
Maybe it’s time to stop projecting our own emotions into it. (The Guardian)
+ How we feel about robots that feel. (MIT Technology Review)
+ That said, they are pretty good surgeons. (IEEE spectrum)