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เนื้อหาจัดทำโดย Gruppo CAP and FRAME Divagazioni Scientifiche เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Gruppo CAP and FRAME Divagazioni Scientifiche หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal
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LA GRAN SETE E LA GRAN FAME DELL’INTELLIGENZA ARTIFICIALE

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Manage episode 427321348 series 3367511
เนื้อหาจัดทำโดย Gruppo CAP and FRAME Divagazioni Scientifiche เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Gruppo CAP and FRAME Divagazioni Scientifiche หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal
A fronte del grande ruolo che, come abbiamo visto nella puntata 4, sta già avendo nell’ambito della transizione energetica, le AI sono estremamente energivore. Hanno cioè bisogno di molta energia per funzionare e, soprattutto, allenarsi, imparare e crescere. Non solo: le intelligenze artificiali hanno anche bisogno di grandi quantità di acqua, e ne servirà sempre di più, per raffreddare i data center dove passano tutti i dati. Ecco perché sono stati avviati progetti per renderle più efficienti energeticamente.
FONTI
Sull’aumento dei consumi dei data center:
https://www.cso.ie/en/releasesandpublications/ep/p-dcmec/datacentresmeteredelectricityconsumption2022/
https://cms.eirgrid.ie/sites/default/files/publications/EirGrid_SONI_Ireland_Capacity_Outlook_2022-2031.pdf
https://ens.dk/sites/ens.dk/files/Basisfremskrivning/kf23_hovedrapport.pdf
https://www.iea.org/energy-system/buildings/data-centres-and-data-transmission-networks#overview
Sul consumo di energia per le IA e per la gestione dei dati:
https://arxiv.org/pdf/2211.02001 https://www.eia.gov/tools/faqs/faq.php?id=97&t=3
https://www.iea.org/commentaries/the-carbon-footprint-of-streaming-video-fact-checking-the-headlines
https://arxiv.org/pdf/2311.16863
https://www.cell.com/joule/abstract/S2542-4351(23)00365-3?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS2542435123003653%3Fshowall%3Dtrue
https://arxiv.org/abs/1906.02243
https://arxiv.org/ftp/arxiv/papers/2204/2204.05149.pdf
Sul consumo di acqua da parte delle AI:
https://www.theatlantic.com/technology/archive/2024/03/ai-water-climate-microsoft/677602/?gift=iWa_iB9lkw4UuiWbIbrWGSgF7Etgr_BhmgDCCZVB-xA&utm_source=copy-link&utm_medium=social&utm_campaign=share
Sui progetti avviati per migliorare l’efficienza delle AI:
https://www.ironmountain.com/about-us/sustainability
https://blogs.microsoft.com/blog/2021/07/14/made-to-measure-sustainability-commitment-progress-and-updates/
https://blog.google/outreach-initiatives/sustainability/internet-24x7-carbon-free-energy-should-be-too/
  continue reading

78 ตอน

Artwork
iconแบ่งปัน
 
Manage episode 427321348 series 3367511
เนื้อหาจัดทำโดย Gruppo CAP and FRAME Divagazioni Scientifiche เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Gruppo CAP and FRAME Divagazioni Scientifiche หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal
A fronte del grande ruolo che, come abbiamo visto nella puntata 4, sta già avendo nell’ambito della transizione energetica, le AI sono estremamente energivore. Hanno cioè bisogno di molta energia per funzionare e, soprattutto, allenarsi, imparare e crescere. Non solo: le intelligenze artificiali hanno anche bisogno di grandi quantità di acqua, e ne servirà sempre di più, per raffreddare i data center dove passano tutti i dati. Ecco perché sono stati avviati progetti per renderle più efficienti energeticamente.
FONTI
Sull’aumento dei consumi dei data center:
https://www.cso.ie/en/releasesandpublications/ep/p-dcmec/datacentresmeteredelectricityconsumption2022/
https://cms.eirgrid.ie/sites/default/files/publications/EirGrid_SONI_Ireland_Capacity_Outlook_2022-2031.pdf
https://ens.dk/sites/ens.dk/files/Basisfremskrivning/kf23_hovedrapport.pdf
https://www.iea.org/energy-system/buildings/data-centres-and-data-transmission-networks#overview
Sul consumo di energia per le IA e per la gestione dei dati:
https://arxiv.org/pdf/2211.02001 https://www.eia.gov/tools/faqs/faq.php?id=97&t=3
https://www.iea.org/commentaries/the-carbon-footprint-of-streaming-video-fact-checking-the-headlines
https://arxiv.org/pdf/2311.16863
https://www.cell.com/joule/abstract/S2542-4351(23)00365-3?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS2542435123003653%3Fshowall%3Dtrue
https://arxiv.org/abs/1906.02243
https://arxiv.org/ftp/arxiv/papers/2204/2204.05149.pdf
Sul consumo di acqua da parte delle AI:
https://www.theatlantic.com/technology/archive/2024/03/ai-water-climate-microsoft/677602/?gift=iWa_iB9lkw4UuiWbIbrWGSgF7Etgr_BhmgDCCZVB-xA&utm_source=copy-link&utm_medium=social&utm_campaign=share
Sui progetti avviati per migliorare l’efficienza delle AI:
https://www.ironmountain.com/about-us/sustainability
https://blogs.microsoft.com/blog/2021/07/14/made-to-measure-sustainability-commitment-progress-and-updates/
https://blog.google/outreach-initiatives/sustainability/internet-24x7-carbon-free-energy-should-be-too/
  continue reading

78 ตอน

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