Microsoft to type nuclear energy staff to help AI: Report

Tech big Microsoft is outwardly forming a brand new staff to advance its synthetic intelligence plans by hiring knowledgeable to develop an vitality technique based mostly on Small Modular Reactors (SMRs) and microreactor vitality.

In keeping with a job publish reported by The Verge, Microsoft is in search of a principal program supervisor who will lead its nuclear expertise efforts to help the event of AI fashions.

“The following main wave of computing is being born, because the Microsoft Cloud turns the world’s most superior AI fashions into a brand new computing platform,” in keeping with a quote from Microsoft’s chairman and CEO Satya Nadella available within the job description.

The best candidate will need to have not less than six years of expertise within the nuclear business, engineering, or vitality market, reads the publish, which is presently closed to purposes. The place may even be accountable for exploring different experimental vitality applied sciences.

Complicated machine studying fashions, like deep studying, can devour a major quantity of vitality for a number of causes, together with complicated computations and enormous volumes of knowledge. A research published in 2019 by the MIT Expertise Evaluation discovered that coaching a single AI mannequin can emit as a lot carbon within the environment as 5 automobiles of their lifetimes.

The estimated value of coaching AI fashions. Supply: MIT Expertise Evaluation

A number of methods to cut back the vitality consumption of AI fashions contain creating extra environment friendly algorithms and {hardware}, in addition to utilizing renewable vitality sources for information facilities, comparable to nuclear energy.

According to the U.S. Workplace of Nuclear Power, one of many foremost benefits of nuclear energy is that it produces zero carbon emissions and doesn’t emit different greenhouse gases. Nonetheless, researchers at Stanford College argue that this vitality supply isn’t an answer to environmental issues, because it has a long-time lag between planning and operation, a big carbon footprint, and meltdown dangers.

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