{"id":25548,"date":"2023-08-22T00:00:00","date_gmt":"2024-09-13T08:49:03","guid":{"rendered":"https:\/\/wordpress-583806-4798031.cloudwaysapps.com\/ai-arrhenius-ready-to-go-2025-lets-keep-in-mind-green-ai-and-innovative-algorithms-too\/"},"modified":"2024-11-15T16:21:04","modified_gmt":"2024-11-15T15:21:04","slug":"ai-arrhenius-ready-to-go-2025-lets-keep-in-mind-green-ai-and-innovative-algorithms-too","status":"publish","type":"post","link":"https:\/\/informator.se\/en\/ai-arrhenius-ready-to-go-2025-lets-keep-in-mind-green-ai-and-innovative-algorithms-too\/","title":{"rendered":"AI: Arrhenius ready to go 2025. Let\u2019s keep in mind Green AI and innovative algorithms too."},"content":{"rendered":"\n

A new European-Swedish supercomputer<\/a> for academia and industrial R&D is taking shape at the University of Link\u00f6ping (a.k.a. the \u201cSaab city\u201d). Its computing capability will be tens of petaflops (i.e.<\/em>\u00a0 > 10 000 000 000 000 000 ). floating-point calculations\/second) in order to tackle AI\/ML and other big-data HW demanding tasks. Three cheers for it. That said, let\u2019s remember SW innovation as well because they\u00b4re two communicating vessels.<\/em><\/p>\n\n\n\n

In IT-architect-ish, concurrency and new powerful HW are supply<\/em>-based performance tactics<\/em>; new efficient algorithms<\/a> and efficient data processing of \u201cbigger data\u201d per calculation-run (and thus less overhead) are demand-control<\/em> (efficiency-based) performance tactics.<\/em> Typically, you employ both<\/em> supply\/new resources and<\/em> demand control, be small data or big++. Most of green IT and AI employ both. Plus, you usually combine architecture tactics and architecture patterns<\/em>, such as Autonomous Edge (in many apps) or Federated Learning (to make ML apps more resource-efficient), increasingly prioritizing \u201cgreen<\/a>\u201d or \u201cgreener\u201d as a key quality requirement. I often use this pattern slide in Informator\u2019s course Agile Architechture Fundamentals<\/a><\/em>: <\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Green IT and AI<\/a> will remain a high-priority area for the next couple of years, thanks to several new initiatives<\/a> by governments, EU<\/a>, and industry<\/a> (see also the CPFH diagram in my recent Saab EWS and <\/a>Gripen\/E<\/a> blog).<\/p>\n\n\n\n

The combined green and digital\/intelligent transition was the backbone of the Future of Democracy Summit in Gothenburg in May, with partners like AI Sweden, Gothenburg University, Microsoft, or Google<\/a>. Last week, the British government announced a four-million GBP funding for green AI<\/strong> solutions<\/a> to accelerate industrial decarbonization across the UK. And the list goes on.<\/p>\n\n\n\n

Long story short: be Medtech\/Biotech, Miltech\/Aerotech, Fintech, or Industry4.0, IT architects have to make it Green <\/em>as well.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

by <\/em>Milan Kratochvil<\/a>.  <\/u><\/em><\/a><\/p>\n\n\n\n

Trainer at Informator, senior modeling and architecture consultant at <\/em>Kiseldalen\u2019s, m<\/em>ain author: UML Extra Light (Cambridge University Press) and Growing Modular (Springer). <\/em>Advanced UML2 Professional (OCUP<\/a> cert level 3\/3). Milan and Informator collaborate since 1996 on architecture, AI, rules, modeling, UML, requirements, and design. You can meet him this autumn at these courses <\/em>in English or Swedish (remote<\/strong> participation is offered and highly recommended) <\/em>:<\/em><\/p>\n\n\n\n

AI, Architecture, and Machine Learning<\/a><\/em><\/em><\/p>\n\n\n\n

Agile Architechture Fundamentals<\/a><\/em><\/p>\n\n\n\n

Agile Modeling with UML<\/a><\/em><\/p>\n\n\n\n

Avancerad objektmodellering med UML<\/a><\/em><\/p>\n\n\n\n

(on demand: <\/em>Modular Product Line Architecture<\/a><\/em> )<\/p>\n\n\n\n

<\/p>\n\n\n\n

<\/p>\n<\/span><\/span>\r\n

\u00a0<\/span><\/span><\/h4>\r\n<\/span><\/span>","protected":false},"excerpt":{"rendered":"

A new European-Swedish supercomputer for academia and industrial R&D is taking shape at the University of Link\u00f6ping (a.k.a. the \u201cSaab city\u201d). Its computing capability will be tens of petaflops (i.e.\u00a0 > 10 000 000 000 000 000 ). floating-point calculations\/second) in order to tackle AI\/ML and other big-data HW demanding tasks. Three cheers for it. […]<\/p>\n","protected":false},"author":6,"featured_media":26927,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[579,571,570,922,572],"tags":[],"class_list":["post-25548","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-agila-metoder","category-ai","category-blogg","category-blogi","category-it-arkitektur"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t