Remove price gas
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Renewable energy in action: Examples and use cases for fueling the future

IBM Journey to AI blog

While fossil fuels—including non-renewable energy sources such as oil, coal and natural gas—are finite resources, renewable resources are replenished over time and considered inexhaustible (that is, they are not in danger of being depleted or used up entirely.)

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4 strategic sourcing use cases to strengthen your supply chain

IBM Journey to AI blog

¹ With supply chains often accounting for more than 90% of the greenhouse gas (GHG) emissions associated with providing an enterprise’s products and services, strategic sourcing through the lens of sustainability is another way to reduce overall emissions and advance environmental, social and governance (ESG) goals.

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Renewable energy trends and developments powering a cleaner future

IBM Journey to AI blog

The acceleration in clean, renewable energy power generation comes not a moment too soon for policymakers and advocates concerned with climate change caused by greenhouse gas emissions. And by 2028, 68 countries will boast renewables as their main source of power. Historically, biogas has been used at heat and power plants.

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The tsunami of sustainability disclosures facing American multinationals: Is your company prepared?

IBM Journey to AI blog

These requirements will likely mandate publicly traded companies to disclose their greenhouse gas (GHG) emissions footprint, climate-related goals, and progress, as well as climate-risk related financial impact and expenditures. Furthermore, companies would need to disclose the price and rationale for internal carbon prices.

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The advantages and disadvantages of renewable energy

IBM Journey to AI blog

Solar energy, wind energy, hydropower, geothermal energy and biomass energy generation is better for the planet than the burning of fossil fuels including oil, natural gas and coal. For example, since Russia’s invasion of Ukraine, European countries have sought to reduce their imports of Russian oil and gas.

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Regression in Machine Learning: Types & Examples

Pickl AI

Example: Suppose we want to predict house prices (Y) based on the size of the house (X). We collect data on various houses with their respective sizes and their actual selling prices. The goal is to fit a straight line that best describes the relationship between house size and price.

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Dial It In: Data Centers Need New Metric for Energy Efficiency

NVIDIA

That’d be like measuring the amount of gas an engine uses without noticing how far the car has gone. In a recent report , Stanford University’s Human-Centered AI group estimated GPU performance “has increased roughly 7,000 times” since 2003, and price per performance is “5,600 times greater.”