According to Cointelegraph, Microsoft is reportedly forming a new team to advance its artificial intelligence (AI) plans by hiring a professional to develop an energy strategy based on Small Modular Reactors (SMRs) and microreactor energy. The tech giant is looking for a principal program manager to lead its nuclear technology efforts in support of AI model development, according to a job post reported by The Verge.
The ideal candidate must have at least six years of experience in the nuclear industry, engineering, or energy market. The position will also be responsible for exploring other experimental energy technologies. Complex machine learning models, like deep learning, can consume a significant amount of energy due to 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 U.S. Office of Nuclear Energy, one of the main advantages of nuclear power is that it produces zero carbon emissions and doesnât emit other greenhouse gases. However, researchers at Stanford University argue that this energy source isnât a solution to environmental problems, since it has a long-time lag between planning and operation, a large carbon footprint, and meltdown risks.
