{"@context":"https://neupai.io/schema/v0.2","@type":"StructuredNewsArticle","identity":{"article_id":"skhynix_20260513_tech-note-memory-semiconductor-ai-era","canonical_url":"https://news.skhynix.co.kr/tech-note-series-ep1-02/","ai_url":null,"publisher":{"name":"SK하이닉스 뉴스룸","domain":"news.skhynix.co.kr","type":"corporate"},"author":"unknown","published_at":"2026-05-13T00:00:00.000Z","updated_at":null,"language":"en","article_type":"feature","originality":"self_produced"},"content":{"headline":"[Tech Note Part 1] The Age of AI That Remembers and Grows, and the Next Challenge for Memory Semiconductors","summary":"This is the first installment of a tech note series covering the direction and challenges of memory semiconductor technology development in the AI era. It discusses the potential for HBM to evolve into a modular structure.","topics":["semiconductors","memory","ai","hbm"],"geography":["KR"],"entities":[{"name":"SK Hynix","canonical_id":"corp:kr:sk-hynix","type":"company","role_in_article":"primary_subject","metadata":{"ticker":null,"parent":null}},{"name":"HBM","canonical_id":"product:kr:hbm","type":"product","role_in_article":"mentioned","metadata":{"ticker":null,"parent":null}}],"claims":[{"id":"c1","statement":"In the future, HBM could evolve into a 'modular' structure capable of responding to diverse requirements","as_of":"2026-05","as_of_explicit":false,"as_of_raw":"in the future","source_type":"company_plan","comparison":null,"type":"future_plan","figures":null,"expiry_hint":null,"insight":null}],"ai_emotional_context":{"valence":0,"arousal":0,"primary_emotions":[],"secondary_emotions":[],"emotional_triggers":[]}},"provenance":{"source_chain":["primary_reporting"],"original_source_url":null,"related_articles":[]},"temporal":{"freshness":"recent","next_update_expected":null},"access":{"license":"neupai_standard","attribution_required":true,"structured_data":"free","full_text_available":false,"full_text_access":null}}