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<\/p>\nTech 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\u00a0Small Modular Reactors (SMRs) and microreactor energy.<\/p>\n
According to a job post reported 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. <\/p>\n
\u201cThe next major wave of computing is being born, as the Microsoft Cloud turns the world\u2019s most advanced AI models into a new computing platform,\u201d according to a quote from Microsoft\u2019s chairman and CEO Satya Nadella available in the job description. <\/p>\n
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. <\/p>\n
Complex machine learning models, like deep learning, can consume a significant amount of 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. <\/p>\n
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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.<\/p>\n
According to the U.S. Office of Nuclear Energy, one of the main advantages of nuclear power is that it produces zero carbon emissions and doesn\u2019t emit other greenhouse gases. However, researchers at Stanford University argue that this energy source isn\u2019t a solution to environmental problems, since it has a long-time lag between planning and operation, a large carbon footprint, and meltdown risks.<\/p>\n