Examining the Growing Energy Demands of Artificial Intelligence

As Artificial Intelligence adoption surges, so do its energy requirements—what does this mean for climate impact and tech’s carbon footprint?

Big Tech companies are experiencing a steep increase in energy consumption as the use of Artificial Intelligence grows exponentially. The sector´s rapid expansion is prompting critical attention toward the energy required for each Artificial Intelligence query, raising broader questions about sustainability and environmental consequences.

An upcoming discussion featuring editor in chief Mat Honan, senior climate reporter Casey Crownhart, and Artificial Intelligence reporter James O’Donnell will delve into these pressing concerns. The roundtable aims to dissect the current and projected energy needs of Artificial Intelligence operations, highlighting the factors that are contributing to soaring electricity consumption across the industry.

By bringing together leading voices in technology and climate reporting, the session will address not just the direct power demands of Artificial Intelligence data centers but also the ripple effect on global electricity grids and climate commitments. The conversation seeks to frame a clear picture of what increased Artificial Intelligence adoption means for emissions, power infrastructure, and the evolving role of technology in driving both innovation and environmental challenges.

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IBM and AMD partner on quantum-centric supercomputing

IBM and AMD announced plans to develop quantum-centric supercomputing architectures that combine quantum computers with high-performance computing to create scalable, open-source platforms. The collaboration leverages IBM´s work on quantum computers and software and AMD´s expertise in high-performance computing and Artificial Intelligence accelerators.

Qualcomm launches Dragonwing Q-6690 with integrated RFID and Artificial Intelligence

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Recent books from the MIT community

A roundup of new titles from the MIT community, including Empire of Artificial Intelligence, a critical look at Sam Altman’s OpenAI, and Data, Systems, and Society, a textbook on harnessing Artificial Intelligence for societal good.

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