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Tech giants and nuclear leaders make news at CERAWeek
Microsoft and Nvidia have formed an “AI for nuclear” partnership intended to streamline the permitting, design, and operations of nuclear power plant facilities, and highlighted the collaboration at CERAWeek 2026 in Houston earlier this week.
Microsoft said in an announcement that the collaboration will build a “connected, AI-powered foundation” of AI tools that energy developers will be able to use to make work “repeatable, traceable, secure, and predictable,” all the while reducing work timelines and maintaining safety.
G. Paquignon, D. Brisset, B. Cathala, V. Lamaison, D. Chatain, P. Bonnay, E. Bouleau, J. P. Perin
Fusion Science and Technology | Volume 45 | Number 2 | March 2004 | Pages 282-285
Technical Paper | Target Fabrication | doi.org/10.13182/FST04-A462
Articles are hosted by Taylor and Francis Online.
The Laser Megajoule cryotarget positioner will be used to set the cryogenic targets at the center of the experimental vacuum chamber. It will consist of a 6-meter carbon boom at the end of which a target will be held by a cryogenic grip at 20 K. In the French concept, the targets will be transferred at 20 K to the cryotarget positioner using another cryostat. Some of the specifications are very ambitious. Indeed, the targets must be positioned with a high accuracy (+/-5 m), the temperature must be controlled with a very good stability and the cryostat must have a 5 day autonomy. To reach these requirements, some technical solutions have been considered. To validate these choices, a scale one prototype has been studied and built at the Low Temperature Laboratory (SBT) of CEA/Grenoble (France). We present here the first results obtained with this prototype.