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Energy company Royal Dutch Shell has started operations at the power-to-hydrogen electrolyzer in Zhangjiakou, China, a joint venture between Shell (China) and Zhangjiakou City Transport Construction Investment Holding Group, the Anglo-Dutch company wrote on Friday. The electrolyzer will reportedly provide about half of the total green hydrogen supply for fuel cell vehicles at the Zhangjiakou competition zone during this year’s Winter Olympic Games, set to begin on February 4. Shell looks set to make further investments in China’s hydrogen sector. “We see opportunities across the hydrogen supply chain in China, including its production, storage and shipping. We want to be the trusted partner for our customers from different sectors as we help them decarbonise in China,” commented Wael Sawan, director of Shell’s Integrated Gas, Renewable and Energy Solutions unit. The companies, which took 13 months to complete the project, have plans to scale the power-to-hydrogen electrolyzer up to 60 MW in the next two years. Utilizing onshore wind power, the project will initially supply green hydrogen to fuel a fleet of more than 600 fuel cell vehicles at the Zhangjiakou competition zone during the Winter Olympic Games. After that, the hydrogen will be used for public and commercial transport in the Beijing-Tianjin-Hebei region.

Green Hydrogen Systems, a provider of pressurized alkaline electrolyzers used in on-site hydrogen production based on renewable electricity, has signed a supply agreement with Edinburgh-based Logan Energy to deliver electrolysis equipment for a project in England. The order includes the supply of two electrolyzers with a combined capacity of 0.9 MW for the production of green hydrogen from renewable energy. “Manufactured by Green Hydrogen Systems and operated by Logan Energy, the electrolysers will be deployed in a 40 ft container as a complete green hydrogen plant as part of plans to develop a regional hydrogen economy in Dorset, England,” Green Hydrogen Systems wrote on Tuesday. When fully operational during Q4 of 2022, the ordered electrolyzers will reportedly have the capacity to provide approximately 389 kg green hydrogen per day.

Second, we need to be aware of the manifest biases and fallacies that magnify the weight humans put on potential losses compared to potential future gains. As a result of these biases, humans often seek to preserve the status quo over pursuing activities that lead to future changes, even when the expected (but risky) gains from the latter may outweigh those of maintaining the status quo. The preference for the status quo, and neat narratives that oversimplify complex scenarios, can lead to overlooking (or ignoring) important information that is not consistent with the current generally accepted meme — illustrated, perhaps, in Musk’s continued optimism for autonomous vehicles despite the evidence leading to others downscaling their forecasts.

The first and second points together lead to the third important consideration: the importance of independently verified data over forecasts and opinion in determining the need for and appropriateness of policy interventions. And data is historical by nature. Pausing to collect it rather than rushing to respond is recommended.

To that end, we can use available data to analyze whether increasing use of AI is demonstrably affecting key labor market performance indicators: labor productivity and multifactor productivity growth. If, as Keynes suggests, AI-driven technological change is increasing the potential for new means of economizing the use of labor to outrun the pace of finding new ways to use it, we would expect to see both statistics rising in the era dominated by AI. Yet as Figures 1 and 2 show, the exact opposite appears true for a wide range of OECD countries. Neither does the data suggest that other key labor market indicators have changed negatively with the advent of AI. As with the computer industry, we see the effects of AI everywhere but in the productivity statistics.

What is AI, really? Jeff Dean, the head of Google’s AI efforts, explains the underlying technology that enables artificial intelligence to do all sorts of things, from understanding language to diagnosing disease — and presents a roadmap for building better, more responsible systems that have a deeper understanding of the world. (Followed by a Q&A with head of TED Chris Anderson)

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64x Bio comes out of the Har­vard De­part­ment of Ge­net­ics. CEO Lex Rovn­er and her team — which right now, sits around 10 peo­ple — are look­ing to tack­le a key hur­dle for ma­jor com­pa­nies: man­u­fac­tur­ing cell and gene therapies.

Rovn­er met Church while get­ting her PhD at Yale, and went on to do a post­doc­tor­al re­search fel­low­ship in his lab, and, when talk­ing to folks in the in­dus­try, found a mas­sive vi­ral vec­tor man­u­fac­tur­ing bot­tle­neck that wasn’t be­ing talked about.

Af­ter a seed fund­ing round and the com­pa­ny’s launch in 2020, it made some noise in the in­dus­try, par­tic­u­lar­ly as Covid-19 made bot­tle­neck is­sues more vis­i­ble. There’s a wait­list to get a vec­tor from man­u­fac­tur­ers, and not much of a so­lu­tion to the problem.

Minor spoilers ahead. This video covers Matrix Resurrections, the Matrix Franchise, and their top 10 future technologies.
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SOURCES:
https://research.aimultiple.com/artificial-general-intellige…ty-timing/
https://www.scientificamerican.com/article/do-we-live-in-a-s…50-50/
https://www.scientificamerican.com/article/confirmed-we-live-in-a-simulation/
https://www.simulation-argument.com/matrix2.html.
https://u.osu.edu/vanzandt/2018/04/18/ancestor-simulations/
https://iep.utm.edu/solipsis/
https://www.nickbostrom.com/superintelligence.html.
https://in.askmen.com/tech-news/1111981/article/scientists-d…-the-brain.
https://futurism.com/darpa-is-planning-to-hack-the-human-bra…oad-skills.
https://www.iqsdirectory.com/resources/what-can-we-expect-fr…he-future/
https://www.lightfieldlab.com/
https://www.bbc.com/news/technology-53921596
https://www.bbc.com/news/technology-49606027
https://www.zdnet.com/article/brain-hacking-is-the-next-big-…-the-mind/
https://futurism.com/hacking-the-human-brain-new-tech-could-make-it-a-reality.
https://en.wikipedia.org/wiki/Superintelligence.

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💡 On this channel, I explain the following concepts:

Carolyn Hartz, a 70-year-old woman, was like most individuals on the planet. She couldn’t get enough of sweets. And she wasn’t afraid to gorge herself on desserts for four decades. But then she made the decision to make a substantial lifestyle shift. She also made the decision to eliminate all processed sugar from her diet.

Today, three decades later, Carolyn appears to be much younger than she has ever been. She has a fantastic physique that many women all over the world would lust over. Even at her advanced age, she has the confidence to go to the beach in a bikini like any other young lady. Her skin also appears to be in excellent condition.

It’s all because she made the decision to change her lifestyle choices, she claims. She believes that it is never too late to change one’s life. All you have to do is make the decision to improve your life.

In recent years, computer-generated animations of animals and humans have become increasingly detailed and realistic. Nonetheless, producing convincing animations of a character’s face as it’s talking remains a key challenge, as it typically entails the successful combination of a series of different audio and video elements.

A team of computer scientists at TCS Research in India has recently created a new model that can produce highly realistic talking face animations that integrate audio recordings with a character’s head motions. This model, introduced in a paper presented at ICVGIP 2021, the twelfth Indian Conference on Computer Vision, Graphics and Image Processing, could be used to create more convincing virtual avatars, digital assistants, and animated movies.

“For a pleasant viewing experience, the perception of realism is of utmost importance, and despite recent research advances, the generation of a realistic talking face remains a challenging research problem,” Brojeshwar Bhowmick, one of the researchers who carried out the study, told TechXplore. “Alongside accurate lip synchronization, realistic talking face animation requires other attributes of realism such as natural eye blinks, head motions and preserving identity information of arbitrary target faces.”