Microsoft to kind nuclear energy staff to assist AI: Report

by Jeremy

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

In line 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 assist the event of AI fashions.

“The subsequent 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 accordance with a quote from Microsoft’s chairman and CEO Satya Nadella out there within the job description.

The perfect candidate will need to have at the very least six years of expertise within the nuclear trade, engineering, or vitality market, reads the publish, which is at present closed to purposes. The place may also be answerable for exploring different experimental vitality applied sciences.

Advanced machine studying fashions, like deep studying, can eat a major quantity of vitality for a number of causes, together with complicated computations and huge volumes of information. A examine printed in 2019 by the MIT Expertise Overview discovered that coaching a single AI mannequin can emit as a lot carbon within the ambiance as 5 vehicles of their lifetimes.

The estimated price of coaching AI fashions. Supply: MIT Expertise Overview

A couple of methods to scale back the vitality consumption of AI fashions contain growing extra environment friendly algorithms and {hardware}, in addition to utilizing renewable vitality sources for information facilities, reminiscent of nuclear energy.

In accordance to the U.S. Workplace of Nuclear Power, one of many important 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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