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Two new partnerships forged in AI and nuclear sectors
The nuclear space is full of companies eager to power new AI development. At the same time, many AI companies want to provide services to the nuclear industry. It should come as no surprise, then, that two new partnerships have recently been announced that further bridge the AI and nuclear sectors.
AtkinsRéalis has announced a partnership with Nvidia that aims to leverage Nvidia’s technologies to deploy “nuclear-powered, large-scale AI factories.” Centrus Energy has announced a partnership with Palantir Technologies to use Palantir’s software in support of Centrus’s plans to expand enrichment capacity.
H. L. Beck, J. A. DeCampo, C. V. Gogolak, W. M. Lowder, J. E. McLaughlin, arid P. D. Raft
Nuclear Technology | Volume 14 | Number 3 | June 1972 | Pages 232-239
Technical Paper | Reactor Siting | doi.org/10.13182/NT72-A31112
Articles are hosted by Taylor and Francis Online.
Increases in radiation exposure of <1 mrad/yr due to gaseous effluents from a nuclear facility can be measured using sensitive high pressure ionization chambers. As a result of the rapidly fluctuating nature of the plume exposure rate contributions compared to the normal background signal, increases in exposure due to gaseous effluents can be uniquely distinguished from variations in ambient background. Passive devices such as thermoluminescent and film dosimeters are incapable of routinely measuring perturbations of this magnitude and, moreover, provide no mechanism for identifying the cause of an increase in integrated exposure. Collateral in situ gamma spectrometry has been used to verify the natural exposure rate levels, to identify the isotopes in the gaseous effluent, to estimate off-gas holdup times, and to investigate the exposure from 16N in the steam turbines of a boiling water reactor (BWR) plant.