Under lång tid har produktionen av halvledare varit förlagd till Taiwan och andra länder i Asien. Men nu tar Europa och USA nya initiativ för att öka produktionen av bland annat halvledare, inte minst så kallade ai-chipp.
Professorn om ai-chippen: ”Står inför en tid av enorma möjligheter”
ai Teknikjättarna lägger allt mer resurser på utveckling av ai-chipp. Vi har frågat professor Mikael Östling på Kungliga Tekniska Högskolan om hans syn på teknikutvecklingen, de stora aktörerna och vad vi kan vänta oss av framtiden.

Någonting är fel
Du är inloggad som prenumerant hos förlaget Pauser Media, men nånting är fel. På din profilsida ser du vilka av våra produkter som du har tillgång till. Skulle uppgifterna inte stämma på din profilsida – vänligen kontakta vår kundtjänst.
Techtidningen premium
Läs vidare – starta din prenumeration
Redan prenumerant? Logga in och läs vidare.
– Ett ai-chipp är en specialiserad typ av halvledarkrets som är designad för att hantera uppgifter som maskininlärning och djupinlärning (deep learning). Det finns ingen exakt definition av vad som utgör ett ai-chipp, eftersom teknologin ständigt utvecklas och gränserna mellan traditionella processorer (cpu:er), grafiska processorer (gpu:er) och ai-chipp blir allt mer suddiga, säger Mikael Östling som är professor på KTH.
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
