Microsoft to form nuclear power team to support AI: Report

Microsoft is forming a new team of professionals to advance its artificial intelligence plans with small modular reactors and microreactors.

Tech giant Microsoft is apparently forming a new team to advance its artificial intelligence plans by hiring a professional to develop an energy strategy based on small modular reactors and microreactor energy.

According to a job post reproted by The Verge, Microsoft is looking for a principal program manager who will lead its nuclear technology efforts to support the development of AI models.

“The next major wave of computing is being born, as the Microsoft Cloud turns the world’s most advanced AI models into a new computing platform,” according to a quote from Microsoft’s chairman and CEO Satya Nadella in the job description.

The ideal candidate must have at least six years of experience in the nuclear industry, engineering or energy market, reads the post, which is currently closed to applications. The position will also be responsible for exploring other experimental energy technologies.

Complex machine learning models, like deep learning, can consume significant energy for several reasons, including complex computations and large volumes of data. A study published in 2019 by the MIT Technology Review found that training a single AI model can emit as much carbon in the atmosphere as five cars in their lifetimes.

A few ways to reduce the energy consumption of AI models involve developing more efficient algorithms and hardware, as well as using renewable energy sources for data centers, such as nuclear power.

According to the United States Office of Nuclear Energy, one of the main advantages of nuclear power is that it produces zero carbon emissions and doesn’t emit other greenhouse gases. However, researchers at Stanford University argue that this energy source isn’t a solution to environmental problems since it has a long time lag between planning and operation, a large carbon footprint and meltdown risks.

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