{"@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":"ko","article_type":"feature","originality":"self_produced"},"content":{"headline":"[Tech Note 1편] 기억하고 성장하는 AI 시대, 메모리 반도체의 다음 과제","summary":"AI 시대에 맞춰 메모리 반도체 기술의 발전 방향과 과제를 다루는 기술 노트 시리즈의 첫 번째 편이다. HBM의 모듈화 구조 발전 가능성에 대해 언급하고 있다.","topics":["반도체","메모리","AI","HBM"],"geography":["KR"],"entities":[{"name":"SK하이닉스","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":"추후 HBM은 다양한 요구 조건에 대응할 수 있는 '모듈화' 구조로 발전할 수 있다","as_of":"2026-05","as_of_explicit":false,"as_of_raw":"추후","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}}