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As machine learning models grow in size, so too does their carbon footprint. As AI scales, it's important that we quantify and mitigate these emissions. In our new short course Carbon Aware Computing for GenAI Developers you'll learn from Google Cloud Developer Advocate Nikita Namjoshi how to: - Query...

105,900 просмотров • 2 лет назад •via X (Twitter)

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Google inks historic US deal to buy Gen IV nuclear power for data centers | Neetika Walter Kairos Power’s Hermes 2 reactor will deliver 50 MW of carbon-free power by 2030, with TVA channeling the energy to Google’s data centers. Google has announced the first power purchase agreement (PPA) between a U.S. utility and an advanced nuclear developer. Through the deal, the Tennessee Valley Authority (TVA) will buy electricity from Kairos Power’s Hermes 2 demonstration plant in Oak Ridge, Tennessee. The 50-megawatt reactor is expected to begin operations in 2030, sending power to TVA’s grid and supporting Google’s data centers in Tennessee and Alabama. One-of-a-kind milestone This marks the first time a U.S. utility has committed to purchasing electricity from a Generation IV nuclear plant. For Google, it represents an early step in a longer-term collaboration with Kairos Power to unlock as much as 500 megawatts of nuclear capacity over the next decade. The Hermes 2 project also carries symbolic weight, reviving Oak Ridge’s historic role as a hub for nuclear innovation. Google has steadily expanded its presence in the Tennessee Valley over the past decade and has worked closely with TVA to add clean energy to the region. With artificial intelligence workloads and cloud services driving demand for reliable electricity, the company is now betting on advanced nuclear as part of its strategy to secure 24/7 carbon-free energy. The U.S. grid is under growing strain as AI, electrification, and population growth push power demand to new highs. Traditional sources of clean power, such as wind and solar, cannot always deliver around the clock, while large nuclear plants face long timelines and high costs. Small and modular nuclear reactors offer a potential solution, providing carbon-free capacity with more flexibility. Trump push gives nuclear fresh momentum The move comes as the Trump administration has accelerated support for advanced nuclear. In May, the White House signed executive orders to streamline licensing for micro-reactors and small modular reactors, to triple or even quadruple U.S. nuclear output by mid-century. Federal agencies have also launched pilot projects to test more than a dozen small reactors, many on federal land to avoid permitting delays. These steps have helped renew investor interest in nuclear technology and created room for private-sector deals like Google’s. Energy startups such as Oklo have seen their shares climb after securing government partnerships, underscoring the link between policy reform and commercial appetite. Google’s nuclear partnership reflects this broader momentum. The deal highlights how next-generation technologies can find a pathway to market by combining utility-scale, regulatory support, and private-sector demand. For Oak Ridge, the project could deliver economic benefits alongside energy breakthroughs. Kairos Power plans to train a new generation of nuclear workers in partnership with the University of Tennessee and other institutions. The Hermes 2 plant will also anchor efforts to re-establish the city as a center of nuclear innovation. In signing on to the project, Google is not only securing clean power for its data centers but also helping to push advanced nuclear toward commercial reality. Read more:

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Major program launch: Data Analytics Professional Certificate! This large, five-course sequence takes you all the way to being job-ready as a data analyst, and shows how to use Generative AI as a thought partner to enhance your work in this role. Offered by on Coursera, this is taught by Sean Barnes, Ph.D., a Data Science & Engineering Leader at Netflix. Analyzing data remains one of the most important skills in where the world is going with AI. This comprehensive certificate takes you all the way to being job-ready. Each course comes with practical projects demonstrated in real-world contexts, such as analyzing sales data for a Korean bakery, video game sales trends across different regions, or identifying factors impacting customer retention for a communications company. You'll also work on estimating fire distribution for forest fire prevention, analyzing how a diamond's properties affect its market value, and developing predictive models for retail sales analysis, carbon emissions, and coral reef conservation. Here's some of what you'll learn: - How to define data and categorize it into its many types such as discrete & continuous numerical, structured & unstructured, time series, categorical, and know what insights can be derived from the different types of data categories. - How to differentiate between data-related job roles and their responsibilities, and how data flows through an organization from the moment of capture to decision-making. - How to perform data processing functions and apply conditional formatting in spreadsheets to extract business value from your data using statistical calculations and best practices for visualizing and interpreting data. - How to use LLMs for stakeholder analysis, data exploration, and data visualization. - Best practices for using LLMs for as a thought partner to data analysis work By the end of this professional certificate program, you will have learned core statistical concepts, analysis techniques, and visualization methodologies that will serve as the foundation for working as a data analyst. The world needs more data analysts, especially ones who know how to use modern generative AI. With data science roles projected to grow 36% by 2033, the skills taught in this program create new professional opportunities in data. Sign up here!

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The only reason why the Bank of Canada (Bank of Canada) chose to go after one academic without refuting any claims made was because this one academic (me) was asking questions the Bank did not like. The question asked in Parliament came from our enquiries. So, this morning, we have submitted nine (9) more questions to the Bank following this week’s testimony. These are all questions, reporters, and intellectuals can ask, should ask, but won’t: 1) What specific data and economic models were used to arrive at the 0.6% estimate for the impact of eliminating the carbon tax on inflation? 2) Can the Bank of Canada provide a breakdown of the assumptions and variables considered in your calculations for this estimate? 3) How sensitive is the estimate to changes in key assumptions, such as the level of the carbon tax, consumer behaviour, and market dynamics? 4) Has the Bank considered the potential second-order effects of eliminating the carbon tax, such as changes in energy consumption and production, shifts in investment patterns, or effects on other industries? Furthermore, why isn't the Bank analyzing other components (not only three) of the Consumer Price Index (CPI), such as #food, in relation to this estimate? 5) What historical or international examples does the Bank rely on to support this estimate, and how well do those examples align with the Canadian economic context? 6) Are there any studies or research papers that have reached different conclusions regarding the impact of carbon taxes on inflation? If so, how does the Bank's estimate reconcile with these differing perspectives? 7) What measures are in place to continuously monitor and update the estimate as economic conditions and policies change? In other words, will your 0.6 estimate increase as the carbon tax increases over time until it reaches $170/mt in 2023? 8) Can the Bank provide a range of potential impacts rather than a single-point estimate, considering the inherent uncertainty in economic forecasting? 9) How does the Bank account for potential behavioural changes, such as shifts in consumer preferences, in their estimate? We'll inform you once we receive a response. Remember to ask questions and not overlook the data. Revisiting the Governor's testimony from October 30 ⬇️, pay close attention to his words. His statement regarding the "one-time 0.6% drop" underscores that the policy is indeed playing a role in driving inflation.

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