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Microsoft Builds New Team to Create Energy-Efficient AI Models Using Nuclear Tech

Algoine News
Summary:
Microsoft is creating a new team tasked with enhancing its artificial intelligence (AI) projects by developing an energy plan based on Small Modular Reactors (SMRs) and microreactor energy. The company seeks a principal program manager with nuclear sector, engineering, or energy market experience to lead its nuclear technology efforts. This is due to the energy-intense nature of complex machine learning model development. Despite the environmental advantage of nuclear power, its use is contested due to operational lag, carbon footprint, and meltdown risks.
Software behemoth Microsoft is reportedly assembling a fresh unit specifically to bolster its AI aspirations, taking on a new role to create a power strategy founded on Small Modular Reactors (SMRs) and microreactor energy. As published by The Verge, Microsoft is in the market for a leading program manager to spearhead its nuclear tech aims to further AI model development. As per a statement attributed to Microsoft's chairman and CEO, Satya Nadella, present in the job notice “Microsoft Cloud instigates a new computing platform by transforming sophisticated AI models, thus marking the dawn of future computing". As stated in the job listing, which is no longer accepting applications, a suitable applicant should present a minimum of six years of experience in either the nuclear sector, engineering, or the energy marketplace. Additionally, the role will be liable for delving into other untested energy technologies. Intricate machine learning models such as in-depth learning can exhaust considerable energy, due to reasons like complex calculations and sizable data quantities. An MIT Technology Review research from 2019 advised that training a single AI model might release as much atmospheric carbon as five automobiles during their entire lifespan. Microsoft is exploring methods to cut down the energy usage of AI models, including the development of highly efficient algorithms and pieces of hardware as well as the utilization of eco-friendly energy resources like nuclear power for data hubs. The U.S. Office of Nuclear Energy notes that one substantial benefit of nuclear power is its lack of carbon emissions and release of other greenhouse gases. However, Stanford University researchers argue that this energy option isn’t a foolproof solution to environmental issues, citing lengthy lags between planning and operation phases, significant carbon footprint, and risk of meltdowns. As per reports, Bitcoin is on a possible path of collision with 'Net Zero' pledges.

Published At

10/1/2023 4:32:12 PM

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