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Major AI companies like Meta, Microsoft, and Google are investing in natural gas power plants to fuel their data centers, raising concerns about environmental impact and long-term financial sustainability.
Major AI companies like Meta, Microsoft, and Google are investing in natural gas power plants to fuel their data centers, but environmental and financial risks may outweigh the benefits.
Google's new data center will be powered by a natural gas plant emitting millions of tons of carbon dioxide annually, raising concerns about the company's environmental commitments.
Data centers are essential for AI development, but their massive energy consumption is sparking global debates about power grids, costs, and environmental impact.
Senators Elizabeth Warren and Josh Hawley are urging the Energy Information Administration to mandate annual energy-use reporting for data centers, highlighting growing concerns about their environmental impact.
Senators Elizabeth Warren and Josh Hawley demand annual electricity disclosure for data centers from the Energy Information Administration.
Learn how green propulsion systems like Arkadia Space's DARK technology are revolutionizing space travel by using clean, sustainable fuels instead of traditional toxic chemicals.
London-based carbon management platform Zevero has raised $7 million in funding, bringing its total to $14 million, as it expands into new markets and shifts carbon reporting from annual to continuous data infrastructure.
Learn how foodtech startups like Foreverland are using sustainable ingredients and AI to create ethical alternatives to traditional chocolate. Understand the basics of food technology and its role in building a better food future.
OpenAI is in advanced talks to acquire fusion energy from Helion Energy, aiming to secure 5 gigawatts by 2030 and scale to 50 gigawatts by 2035. Sam Altman has stepped down from Helion’s board to avoid conflicts of interest.
Dutch startup BBLeap has raised €5M to scale its precision spraying technology that reduces chemical usage by up to 50% through plant-level targeting.
Learn to monitor and analyze AI energy consumption using Python to optimize computing resources and make informed investment decisions in energy-efficient technologies.
